---
_id: '1188'
abstract:
- lang: eng
text: "We consider a population dynamics model coupling cell growth to a diffusion
in the space of metabolic phenotypes as it can be obtained from realistic constraints-based
modelling. \r\nIn the asymptotic regime of slow\r\ndiffusion, that coincides with
the relevant experimental range, the resulting\r\nnon-linear Fokker–Planck equation
is solved for the steady state in the WKB\r\napproximation that maps it into the
ground state of a quantum particle in an\r\nAiry potential plus a centrifugal
term. We retrieve scaling laws for growth rate\r\nfluctuations and time response
with respect to the distance from the maximum\r\ngrowth rate suggesting that suboptimal
populations can have a faster response\r\nto perturbations."
acknowledgement: D De Martino is supported by the People Programme (Marie Curie Actions)
of the European Union's Seventh Framework Programme (FP7/2007–2013) under REA grant
agreement no. [291734]. D Masoero is supported by the FCT scholarship, number SFRH/BPD/75908/2011.
D De Martino thanks the Grupo de Física Matemática of the Universidade de Lisboa
for the kind hospitality. We also wish to thank Matteo Osella, Vincenzo Vitagliano
and Vera Luz Masoero for useful discussions, also late at night.
article_number: '123502'
article_processing_charge: No
arxiv: 1
author:
- first_name: Daniele
full_name: De Martino, Daniele
id: 3FF5848A-F248-11E8-B48F-1D18A9856A87
last_name: De Martino
orcid: 0000-0002-5214-4706
- first_name: Davide
full_name: Masoero, Davide
last_name: Masoero
citation:
ama: 'De Martino D, Masoero D. Asymptotic analysis of noisy fitness maximization,
applied to metabolism & growth. Journal of Statistical Mechanics:
Theory and Experiment. 2016;2016(12). doi:10.1088/1742-5468/aa4e8f'
apa: 'De Martino, D., & Masoero, D. (2016). Asymptotic analysis of noisy fitness
maximization, applied to metabolism & growth. Journal of Statistical
Mechanics: Theory and Experiment. IOP Publishing. https://doi.org/10.1088/1742-5468/aa4e8f'
chicago: 'De Martino, Daniele, and Davide Masoero. “Asymptotic Analysis of Noisy
Fitness Maximization, Applied to Metabolism & Growth.” Journal of
Statistical Mechanics: Theory and Experiment. IOP Publishing, 2016. https://doi.org/10.1088/1742-5468/aa4e8f.'
ieee: 'D. De Martino and D. Masoero, “Asymptotic analysis of noisy fitness maximization,
applied to metabolism & growth,” Journal of Statistical Mechanics:
Theory and Experiment, vol. 2016, no. 12. IOP Publishing, 2016.'
ista: 'De Martino D, Masoero D. 2016. Asymptotic analysis of noisy fitness maximization,
applied to metabolism & growth. Journal of Statistical Mechanics: Theory
and Experiment. 2016(12), 123502.'
mla: 'De Martino, Daniele, and Davide Masoero. “Asymptotic Analysis of Noisy Fitness
Maximization, Applied to Metabolism & Growth.” Journal of Statistical
Mechanics: Theory and Experiment, vol. 2016, no. 12, 123502, IOP Publishing,
2016, doi:10.1088/1742-5468/aa4e8f.'
short: 'D. De Martino, D. Masoero, Journal of Statistical Mechanics: Theory and
Experiment 2016 (2016).'
date_created: 2018-12-11T11:50:37Z
date_published: 2016-12-30T00:00:00Z
date_updated: 2025-09-22T09:45:38Z
day: '30'
department:
- _id: GaTk
doi: 10.1088/1742-5468/aa4e8f
ec_funded: 1
external_id:
arxiv:
- '1606.09048'
isi:
- '000391973900001'
intvolume: ' 2016'
isi: 1
issue: '12'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1606.09048
month: '12'
oa: 1
oa_version: Preprint
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: ' Journal of Statistical Mechanics: Theory and Experiment'
publication_status: published
publisher: IOP Publishing
publist_id: '6165'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Asymptotic analysis of noisy fitness maximization, applied to metabolism &
growth
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 2016
year: '2016'
...
---
_id: '1197'
abstract:
- lang: eng
text: Across the nervous system, certain population spiking patterns are observed
far more frequently than others. A hypothesis about this structure is that these
collective activity patterns function as population codewords–collective modes–carrying
information distinct from that of any single cell. We investigate this phenomenon
in recordings of ∼150 retinal ganglion cells, the retina’s output. We develop
a novel statistical model that decomposes the population response into modes;
it predicts the distribution of spiking activity in the ganglion cell population
with high accuracy. We found that the modes represent localized features of the
visual stimulus that are distinct from the features represented by single neurons.
Modes form clusters of activity states that are readily discriminated from one
another. When we repeated the same visual stimulus, we found that the same mode
was robustly elicited. These results suggest that retinal ganglion cells’ collective
signaling is endowed with a form of error-correcting code–a principle that may
hold in brain areas beyond retina.
acknowledgement: JSP was supported by a C.V. Starr Fellowship from the Starr Foundation
(http://www.starrfoundation.org/). GT was supported by Austrian Research Foundation
(https://www.fwf.ac.at/en/) grant FWF P25651. MJB received support from National
Eye Institute (https://nei.nih.gov/) grant EY 14196 and from the National Science
Foundation grant 1504977. The authors thank Cristina Savin and Vicent Botella-Soler
for helpful comments on the manuscript.
article_number: e1005855
article_processing_charge: No
author:
- first_name: Jason
full_name: Prentice, Jason
last_name: Prentice
- first_name: Olivier
full_name: Marre, Olivier
last_name: Marre
- first_name: Mark
full_name: Ioffe, Mark
last_name: Ioffe
- first_name: Adrianna
full_name: Loback, Adrianna
last_name: Loback
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
- first_name: Michael
full_name: Berry, Michael
last_name: Berry
citation:
ama: Prentice J, Marre O, Ioffe M, Loback A, Tkačik G, Berry M. Error-robust modes
of the retinal population code. PLoS Computational Biology. 2016;12(11).
doi:10.1371/journal.pcbi.1005148
apa: Prentice, J., Marre, O., Ioffe, M., Loback, A., Tkačik, G., & Berry, M.
(2016). Error-robust modes of the retinal population code. PLoS Computational
Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005148
chicago: Prentice, Jason, Olivier Marre, Mark Ioffe, Adrianna Loback, Gašper Tkačik,
and Michael Berry. “Error-Robust Modes of the Retinal Population Code.” PLoS
Computational Biology. Public Library of Science, 2016. https://doi.org/10.1371/journal.pcbi.1005148.
ieee: J. Prentice, O. Marre, M. Ioffe, A. Loback, G. Tkačik, and M. Berry, “Error-robust
modes of the retinal population code,” PLoS Computational Biology, vol.
12, no. 11. Public Library of Science, 2016.
ista: Prentice J, Marre O, Ioffe M, Loback A, Tkačik G, Berry M. 2016. Error-robust
modes of the retinal population code. PLoS Computational Biology. 12(11), e1005855.
mla: Prentice, Jason, et al. “Error-Robust Modes of the Retinal Population Code.”
PLoS Computational Biology, vol. 12, no. 11, e1005855, Public Library of
Science, 2016, doi:10.1371/journal.pcbi.1005148.
short: J. Prentice, O. Marre, M. Ioffe, A. Loback, G. Tkačik, M. Berry, PLoS Computational
Biology 12 (2016).
date_created: 2018-12-11T11:50:40Z
date_published: 2016-11-17T00:00:00Z
date_updated: 2025-09-22T09:43:12Z
day: '17'
ddc:
- '570'
department:
- _id: GaTk
doi: 10.1371/journal.pcbi.1005148
external_id:
isi:
- '000391230900008'
file:
- access_level: open_access
checksum: 47b08cbd4dbf32b25ba161f5f4b262cc
content_type: application/pdf
creator: kschuh
date_created: 2019-01-25T10:35:00Z
date_updated: 2020-07-14T12:44:38Z
file_id: '5884'
file_name: 2016_PLOS_Prentice.pdf
file_size: 4492021
relation: main_file
file_date_updated: 2020-07-14T12:44:38Z
has_accepted_license: '1'
intvolume: ' 12'
isi: 1
issue: '11'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '11'
oa: 1
oa_version: Published Version
project:
- _id: 254D1A94-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P 25651-N26
name: Sensitivity to higher-order statistics in natural scenes
publication: PLoS Computational Biology
publication_status: published
publisher: Public Library of Science
publist_id: '6153'
quality_controlled: '1'
related_material:
record:
- id: '9709'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Error-robust modes of the retinal population code
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 12
year: '2016'
...
---
_id: '1203'
abstract:
- lang: eng
text: Haemophilus haemolyticus has been recently discovered to have the potential
to cause invasive disease. It is closely related to nontypeable Haemophilus influenzae
(NT H. influenzae). NT H. influenzae and H. haemolyticus are often misidentified
because none of the existing tests targeting the known phenotypes of H. haemolyticus
are able to specifically identify H. haemolyticus. Through comparative genomic
analysis of H. haemolyticus and NT H. influenzae, we identified genes unique to
H. haemolyticus that can be used as targets for the identification of H. haemolyticus.
A real-time PCR targeting purT (encoding phosphoribosylglycinamide formyltransferase
2 in the purine synthesis pathway) was developed and evaluated. The lower limit
of detection was 40 genomes/PCR; the sensitivity and specificity in detecting
H. haemolyticus were 98.9% and 97%, respectively. To improve the discrimination
of H. haemolyticus and NT H. influenzae, a testing scheme combining two targets
(H. haemolyticus purT and H. influenzae hpd, encoding protein D lipoprotein) was
also evaluated and showed 96.7% sensitivity and 98.2% specificity for the identification
of H. haemolyticus and 92.8% sensitivity and 100% specificity for the identification
of H. influenzae, respectively. The dual-target testing scheme can be used for
the diagnosis and surveillance of infection and disease caused by H. haemolyticus
and NT H. influenzae.
acknowledgement: We are grateful to ABCs for providing strains and the Bacterial Meningitis
Laboratory for technical support.
article_processing_charge: No
author:
- first_name: Fang
full_name: Hu, Fang
last_name: Hu
- first_name: Lavanya
full_name: Rishishwar, Lavanya
last_name: Rishishwar
- first_name: Ambily
full_name: Sivadas, Ambily
last_name: Sivadas
- first_name: Gabriel
full_name: Mitchell, Gabriel
id: 315BCD80-F248-11E8-B48F-1D18A9856A87
last_name: Mitchell
- first_name: Jordan
full_name: King, Jordan
last_name: King
- first_name: Timothy
full_name: Murphy, Timothy
last_name: Murphy
- first_name: Janet
full_name: Gilsdorf, Janet
last_name: Gilsdorf
- first_name: Leonard
full_name: Mayer, Leonard
last_name: Mayer
- first_name: Xin
full_name: Wang, Xin
last_name: Wang
citation:
ama: Hu F, Rishishwar L, Sivadas A, et al. Comparative genomic analysis of Haemophilus
haemolyticus and nontypeable Haemophilus influenzae and a new testing scheme for
their discrimination. Journal of Clinical Microbiology. 2016;54(12):3010-3017.
doi:10.1128/JCM.01511-16
apa: Hu, F., Rishishwar, L., Sivadas, A., Mitchell, G., King, J., Murphy, T., …
Wang, X. (2016). Comparative genomic analysis of Haemophilus haemolyticus and
nontypeable Haemophilus influenzae and a new testing scheme for their discrimination.
Journal of Clinical Microbiology. American Society for Microbiology. https://doi.org/10.1128/JCM.01511-16
chicago: Hu, Fang, Lavanya Rishishwar, Ambily Sivadas, Gabriel Mitchell, Jordan
King, Timothy Murphy, Janet Gilsdorf, Leonard Mayer, and Xin Wang. “Comparative
Genomic Analysis of Haemophilus Haemolyticus and Nontypeable Haemophilus Influenzae
and a New Testing Scheme for Their Discrimination.” Journal of Clinical Microbiology.
American Society for Microbiology, 2016. https://doi.org/10.1128/JCM.01511-16.
ieee: F. Hu et al., “Comparative genomic analysis of Haemophilus haemolyticus
and nontypeable Haemophilus influenzae and a new testing scheme for their discrimination,”
Journal of Clinical Microbiology, vol. 54, no. 12. American Society for
Microbiology, pp. 3010–3017, 2016.
ista: Hu F, Rishishwar L, Sivadas A, Mitchell G, King J, Murphy T, Gilsdorf J, Mayer
L, Wang X. 2016. Comparative genomic analysis of Haemophilus haemolyticus and
nontypeable Haemophilus influenzae and a new testing scheme for their discrimination.
Journal of Clinical Microbiology. 54(12), 3010–3017.
mla: Hu, Fang, et al. “Comparative Genomic Analysis of Haemophilus Haemolyticus
and Nontypeable Haemophilus Influenzae and a New Testing Scheme for Their Discrimination.”
Journal of Clinical Microbiology, vol. 54, no. 12, American Society for
Microbiology, 2016, pp. 3010–17, doi:10.1128/JCM.01511-16.
short: F. Hu, L. Rishishwar, A. Sivadas, G. Mitchell, J. King, T. Murphy, J. Gilsdorf,
L. Mayer, X. Wang, Journal of Clinical Microbiology 54 (2016) 3010–3017.
date_created: 2018-12-11T11:50:41Z
date_published: 2016-12-01T00:00:00Z
date_updated: 2025-09-22T09:40:28Z
day: '01'
department:
- _id: GaTk
doi: 10.1128/JCM.01511-16
external_id:
isi:
- '000389209600026'
intvolume: ' 54'
isi: 1
issue: '12'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5121393/
month: '12'
oa: 1
oa_version: Submitted Version
page: 3010 - 3017
publication: Journal of Clinical Microbiology
publication_status: published
publisher: American Society for Microbiology
publist_id: '6146'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Comparative genomic analysis of Haemophilus haemolyticus and nontypeable Haemophilus
influenzae and a new testing scheme for their discrimination
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 54
year: '2016'
...
---
_id: '1214'
abstract:
- lang: eng
text: 'With the accelerated development of robot technologies, optimal control becomes
one of the central themes of research. In traditional approaches, the controller,
by its internal functionality, finds appropriate actions on the basis of the history
of sensor values, guided by the goals, intentions, objectives, learning schemes,
and so forth. While very successful with classical robots, these methods run into
severe difficulties when applied to soft robots, a new field of robotics with
large interest for human-robot interaction. We claim that a novel controller paradigm
opens new perspective for this field. This paper applies a recently developed
neuro controller with differential extrinsic synaptic plasticity to a muscle-tendon
driven arm-shoulder system from the Myorobotics toolkit. In the experiments, we
observe a vast variety of self-organized behavior patterns: when left alone, the
arm realizes pseudo-random sequences of different poses. By applying physical
forces, the system can be entrained into definite motion patterns like wiping
a table. Most interestingly, after attaching an object, the controller gets in
a functional resonance with the object''s internal dynamics, starting to shake
spontaneously bottles half-filled with water or sensitively driving an attached
pendulum into a circular mode. When attached to the crank of a wheel the neural
system independently develops to rotate it. In this way, the robot discovers affordances
of objects its body is interacting with.'
acknowledgement: RD thanks for the hospitality at the Max-Planck-Institute and for
helpful discussions with Nihat Ay and Keyan Zahedi.
article_number: '7759138'
author:
- first_name: Georg S
full_name: Martius, Georg S
id: 3A276B68-F248-11E8-B48F-1D18A9856A87
last_name: Martius
- first_name: Raphael
full_name: Hostettler, Raphael
last_name: Hostettler
- first_name: Alois
full_name: Knoll, Alois
last_name: Knoll
- first_name: Ralf
full_name: Der, Ralf
last_name: Der
citation:
ama: 'Martius GS, Hostettler R, Knoll A, Der R. Compliant control for soft robots:
Emergent behavior of a tendon driven anthropomorphic arm. In: Vol 2016-November.
IEEE; 2016. doi:10.1109/IROS.2016.7759138'
apa: 'Martius, G. S., Hostettler, R., Knoll, A., & Der, R. (2016). Compliant
control for soft robots: Emergent behavior of a tendon driven anthropomorphic
arm (Vol. 2016–November). Presented at the IEEE RSJ International Conference on
Intelligent Robots and Systems IROS , Daejeon, Korea: IEEE. https://doi.org/10.1109/IROS.2016.7759138'
chicago: 'Martius, Georg S, Raphael Hostettler, Alois Knoll, and Ralf Der. “Compliant
Control for Soft Robots: Emergent Behavior of a Tendon Driven Anthropomorphic
Arm,” Vol. 2016–November. IEEE, 2016. https://doi.org/10.1109/IROS.2016.7759138.'
ieee: 'G. S. Martius, R. Hostettler, A. Knoll, and R. Der, “Compliant control for
soft robots: Emergent behavior of a tendon driven anthropomorphic arm,” presented
at the IEEE RSJ International Conference on Intelligent Robots and Systems IROS
, Daejeon, Korea, 2016, vol. 2016–November.'
ista: 'Martius GS, Hostettler R, Knoll A, Der R. 2016. Compliant control for soft
robots: Emergent behavior of a tendon driven anthropomorphic arm. IEEE RSJ International
Conference on Intelligent Robots and Systems IROS vol. 2016–November, 7759138.'
mla: 'Martius, Georg S., et al. Compliant Control for Soft Robots: Emergent Behavior
of a Tendon Driven Anthropomorphic Arm. Vol. 2016–November, 7759138, IEEE,
2016, doi:10.1109/IROS.2016.7759138.'
short: G.S. Martius, R. Hostettler, A. Knoll, R. Der, in:, IEEE, 2016.
conference:
end_date: 2016-09-14
location: Daejeon, Korea
name: 'IEEE RSJ International Conference on Intelligent Robots and Systems IROS '
start_date: 2016-09-09
date_created: 2018-12-11T11:50:45Z
date_published: 2016-11-28T00:00:00Z
date_updated: 2021-01-12T06:49:08Z
day: '28'
department:
- _id: ChLa
- _id: GaTk
doi: 10.1109/IROS.2016.7759138
language:
- iso: eng
month: '11'
oa_version: None
publication_status: published
publisher: IEEE
publist_id: '6121'
quality_controlled: '1'
scopus_import: 1
status: public
title: 'Compliant control for soft robots: Emergent behavior of a tendon driven anthropomorphic
arm'
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 2016-November
year: '2016'
...
---
_id: '1220'
abstract:
- lang: eng
text: Theoretical and numerical aspects of aerodynamic efficiency of propulsion
systems coupled to the boundary layer of a fuselage are studied. We discuss the
effects of local flow fields, which are affected both by conservative flow acceleration
as well as total pressure losses, on the efficiency of boundary layer immersed
propulsion devices. We introduce the concept of a boundary layer retardation turbine
that helps reduce skin friction over the fuselage. We numerically investigate
efficiency gains offered by boundary layer and wake interacting devices. We discuss
the results in terms of a total energy consumption framework and show that efficiency
gains of any device depend on all the other elements of the propulsion system.
author:
- first_name: Gregor
full_name: Mikić, Gregor
last_name: Mikić
- first_name: Alex
full_name: Stoll, Alex
last_name: Stoll
- first_name: Joe
full_name: Bevirt, Joe
last_name: Bevirt
- first_name: Rok
full_name: Grah, Rok
id: 483E70DE-F248-11E8-B48F-1D18A9856A87
last_name: Grah
orcid: 0000-0003-2539-3560
- first_name: Mark
full_name: Moore, Mark
last_name: Moore
citation:
ama: 'Mikić G, Stoll A, Bevirt J, Grah R, Moore M. Fuselage boundary layer ingestion
propulsion applied to a thin haul commuter aircraft for optimal efficiency. In:
AIAA; 2016:1-19. doi:10.2514/6.2016-3764'
apa: 'Mikić, G., Stoll, A., Bevirt, J., Grah, R., & Moore, M. (2016). Fuselage
boundary layer ingestion propulsion applied to a thin haul commuter aircraft for
optimal efficiency (pp. 1–19). Presented at the AIAA: Aviation Technology, Integration,
and Operations Conference, Washington, D.C., USA: AIAA. https://doi.org/10.2514/6.2016-3764'
chicago: Mikić, Gregor, Alex Stoll, Joe Bevirt, Rok Grah, and Mark Moore. “Fuselage
Boundary Layer Ingestion Propulsion Applied to a Thin Haul Commuter Aircraft for
Optimal Efficiency,” 1–19. AIAA, 2016. https://doi.org/10.2514/6.2016-3764.
ieee: 'G. Mikić, A. Stoll, J. Bevirt, R. Grah, and M. Moore, “Fuselage boundary
layer ingestion propulsion applied to a thin haul commuter aircraft for optimal
efficiency,” presented at the AIAA: Aviation Technology, Integration, and Operations
Conference, Washington, D.C., USA, 2016, pp. 1–19.'
ista: 'Mikić G, Stoll A, Bevirt J, Grah R, Moore M. 2016. Fuselage boundary layer
ingestion propulsion applied to a thin haul commuter aircraft for optimal efficiency.
AIAA: Aviation Technology, Integration, and Operations Conference, 1–19.'
mla: Mikić, Gregor, et al. Fuselage Boundary Layer Ingestion Propulsion Applied
to a Thin Haul Commuter Aircraft for Optimal Efficiency. AIAA, 2016, pp. 1–19,
doi:10.2514/6.2016-3764.
short: G. Mikić, A. Stoll, J. Bevirt, R. Grah, M. Moore, in:, AIAA, 2016, pp. 1–19.
conference:
end_date: 2016-06-17
location: Washington, D.C., USA
name: 'AIAA: Aviation Technology, Integration, and Operations Conference'
start_date: 2016-06-13
date_created: 2018-12-11T11:50:47Z
date_published: 2016-06-01T00:00:00Z
date_updated: 2023-02-21T10:17:50Z
day: '01'
department:
- _id: CaGu
- _id: GaTk
doi: 10.2514/6.2016-3764
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://ntrs.nasa.gov/search.jsp?R=20160010167&hterms=Fuselage+boundary+layer+ingestion+propulsion+applied+thin+haul+commuter+aircraft+optimal+efficiency&qs=N%3D0%26Ntk%3DAll%26Ntt%3DFuselage%2520boundary%2520layer%2520ingestion%2520propulsion%2520applied%2520to%2520a%2520thin%2520haul%2520commuter%2520aircraft%2520for%2520optimal%2520efficiency%26Ntx%3Dmode%2520matchallpartial%26Nm%3D123%7CCollection%7CNASA%2520STI%7C%7C17%7CCollection%7CNACA
month: '06'
oa: 1
oa_version: Preprint
page: 1 - 19
publication_status: published
publisher: AIAA
publist_id: '6114'
quality_controlled: '1'
scopus_import: 1
status: public
title: Fuselage boundary layer ingestion propulsion applied to a thin haul commuter
aircraft for optimal efficiency
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
year: '2016'
...
---
_id: '1342'
abstract:
- lang: eng
text: A key aspect of bacterial survival is the ability to evolve while migrating
across spatially varying environmental challenges. Laboratory experiments, however,
often study evolution in well-mixed systems. Here, we introduce an experimental
device, the microbial evolution and growth arena (MEGA)-plate, in which bacteria
spread and evolved on a large antibiotic landscape (120 × 60 centimeters) that
allowed visual observation of mutation and selection in a migrating bacterial
front.While resistance increased consistently, multiple coexisting lineages diversified
both phenotypically and genotypically. Analyzing mutants at and behind the propagating
front,we found that evolution is not always led by the most resistant mutants;
highly resistant mutants may be trapped behindmore sensitive lineages.TheMEGA-plate
provides a versatile platformfor studying microbial adaption and directly visualizing
evolutionary dynamics.
article_processing_charge: No
author:
- first_name: Michael
full_name: Baym, Michael
last_name: Baym
- first_name: Tami
full_name: Lieberman, Tami
last_name: Lieberman
- first_name: Eric
full_name: Kelsic, Eric
last_name: Kelsic
- first_name: Remy P
full_name: Chait, Remy P
id: 3464AE84-F248-11E8-B48F-1D18A9856A87
last_name: Chait
orcid: 0000-0003-0876-3187
- first_name: Rotem
full_name: Gross, Rotem
last_name: Gross
- first_name: Idan
full_name: Yelin, Idan
last_name: Yelin
- first_name: Roy
full_name: Kishony, Roy
last_name: Kishony
citation:
ama: Baym M, Lieberman T, Kelsic E, et al. Spatiotemporal microbial evolution on
antibiotic landscapes. Science. 2016;353(6304):1147-1151. doi:10.1126/science.aag0822
apa: Baym, M., Lieberman, T., Kelsic, E., Chait, R. P., Gross, R., Yelin, I., &
Kishony, R. (2016). Spatiotemporal microbial evolution on antibiotic landscapes.
Science. American Association for the Advancement of Science. https://doi.org/10.1126/science.aag0822
chicago: Baym, Michael, Tami Lieberman, Eric Kelsic, Remy P Chait, Rotem Gross,
Idan Yelin, and Roy Kishony. “Spatiotemporal Microbial Evolution on Antibiotic
Landscapes.” Science. American Association for the Advancement of Science,
2016. https://doi.org/10.1126/science.aag0822.
ieee: M. Baym et al., “Spatiotemporal microbial evolution on antibiotic landscapes,”
Science, vol. 353, no. 6304. American Association for the Advancement of
Science, pp. 1147–1151, 2016.
ista: Baym M, Lieberman T, Kelsic E, Chait RP, Gross R, Yelin I, Kishony R. 2016.
Spatiotemporal microbial evolution on antibiotic landscapes. Science. 353(6304),
1147–1151.
mla: Baym, Michael, et al. “Spatiotemporal Microbial Evolution on Antibiotic Landscapes.”
Science, vol. 353, no. 6304, American Association for the Advancement of
Science, 2016, pp. 1147–51, doi:10.1126/science.aag0822.
short: M. Baym, T. Lieberman, E. Kelsic, R.P. Chait, R. Gross, I. Yelin, R. Kishony,
Science 353 (2016) 1147–1151.
date_created: 2018-12-11T11:51:29Z
date_published: 2016-09-09T00:00:00Z
date_updated: 2025-09-22T08:17:11Z
day: '09'
department:
- _id: CaGu
- _id: GaTk
doi: 10.1126/science.aag0822
external_id:
isi:
- '000382626800052'
intvolume: ' 353'
isi: 1
issue: '6304'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5534434/
month: '09'
oa: 1
oa_version: Preprint
page: 1147 - 1151
publication: Science
publication_status: published
publisher: American Association for the Advancement of Science
publist_id: '5911'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Spatiotemporal microbial evolution on antibiotic landscapes
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 353
year: '2016'
...
---
_id: '1394'
abstract:
- lang: eng
text: "The solution space of genome-scale models of cellular metabolism provides
a map between physically\r\nviable flux configurations and cellular metabolic
phenotypes described, at the most basic level, by the\r\ncorresponding growth
rates. By sampling the solution space of E. coliʼs metabolic network, we show\r\nthat
empirical growth rate distributions recently obtained in experiments at single-cell
resolution can\r\nbe explained in terms of a trade-off between the higher fitness
of fast-growing phenotypes and the\r\nhigher entropy of slow-growing ones. Based
on this, we propose a minimal model for the evolution of\r\na large bacterial
population that captures this trade-off. The scaling relationships observed in\r\nexperiments
encode, in such frameworks, for the same distance from the maximum achievable
growth\r\nrate, the same degree of growth rate maximization, and/or the same rate
of phenotypic change. Being\r\ngrounded on genome-scale metabolic network reconstructions,
these results allow for multiple\r\nimplications and extensions in spite of the
underlying conceptual simplicity."
acknowledgement: "The research leading to these results has received funding from
the from the Marie\r\nCurie Action ITN NETADIS, grant agreement no. 290038."
article_number: '036005'
article_processing_charge: No
arxiv: 1
author:
- first_name: Daniele
full_name: De Martino, Daniele
id: 3FF5848A-F248-11E8-B48F-1D18A9856A87
last_name: De Martino
orcid: 0000-0002-5214-4706
- first_name: Fabrizio
full_name: Capuani, Fabrizio
last_name: Capuani
- first_name: Andrea
full_name: De Martino, Andrea
last_name: De Martino
citation:
ama: 'De Martino D, Capuani F, De Martino A. Growth against entropy in bacterial
metabolism: the phenotypic trade-off behind empirical growth rate distributions
in E. coli. Physical Biology. 2016;13(3). doi:10.1088/1478-3975/13/3/036005'
apa: 'De Martino, D., Capuani, F., & De Martino, A. (2016). Growth against entropy
in bacterial metabolism: the phenotypic trade-off behind empirical growth rate
distributions in E. coli. Physical Biology. IOP Publishing. https://doi.org/10.1088/1478-3975/13/3/036005'
chicago: 'De Martino, Daniele, Fabrizio Capuani, and Andrea De Martino. “Growth
against Entropy in Bacterial Metabolism: The Phenotypic Trade-off behind Empirical
Growth Rate Distributions in E. Coli.” Physical Biology. IOP Publishing,
2016. https://doi.org/10.1088/1478-3975/13/3/036005.'
ieee: 'D. De Martino, F. Capuani, and A. De Martino, “Growth against entropy in
bacterial metabolism: the phenotypic trade-off behind empirical growth rate distributions
in E. coli,” Physical Biology, vol. 13, no. 3. IOP Publishing, 2016.'
ista: 'De Martino D, Capuani F, De Martino A. 2016. Growth against entropy in bacterial
metabolism: the phenotypic trade-off behind empirical growth rate distributions
in E. coli. Physical Biology. 13(3), 036005.'
mla: 'De Martino, Daniele, et al. “Growth against Entropy in Bacterial Metabolism:
The Phenotypic Trade-off behind Empirical Growth Rate Distributions in E. Coli.”
Physical Biology, vol. 13, no. 3, 036005, IOP Publishing, 2016, doi:10.1088/1478-3975/13/3/036005.'
short: D. De Martino, F. Capuani, A. De Martino, Physical Biology 13 (2016).
date_created: 2018-12-11T11:51:46Z
date_published: 2016-05-27T00:00:00Z
date_updated: 2025-09-18T14:31:33Z
day: '27'
department:
- _id: GaTk
doi: 10.1088/1478-3975/13/3/036005
ec_funded: 1
external_id:
arxiv:
- '1601.03243'
isi:
- '000380148200014'
intvolume: ' 13'
isi: 1
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1601.03243
month: '05'
oa: 1
oa_version: Preprint
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: Physical Biology
publication_status: published
publisher: IOP Publishing
publist_id: '5815'
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Growth against entropy in bacterial metabolism: the phenotypic trade-off behind
empirical growth rate distributions in E. coli'
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 13
year: '2016'
...
---
_id: '1420'
abstract:
- lang: eng
text: 'Selection, mutation, and random drift affect the dynamics of allele frequencies
and consequently of quantitative traits. While the macroscopic dynamics of quantitative
traits can be measured, the underlying allele frequencies are typically unobserved.
Can we understand how the macroscopic observables evolve without following these
microscopic processes? This problem has been studied previously by analogy with
statistical mechanics: the allele frequency distribution at each time point is
approximated by the stationary form, which maximizes entropy. We explore the limitations
of this method when mutation is small (4Nμ < 1) so that populations are typically
close to fixation, and we extend the theory in this regime to account for changes
in mutation strength. We consider a single diallelic locus either under directional
selection or with overdominance and then generalize to multiple unlinked biallelic
loci with unequal effects. We find that the maximum-entropy approximation is remarkably
accurate, even when mutation and selection change rapidly. '
article_processing_charge: No
arxiv: 1
author:
- first_name: Katarína
full_name: Bod'ová, Katarína
id: 2BA24EA0-F248-11E8-B48F-1D18A9856A87
last_name: Bod'ová
orcid: 0000-0002-7214-0171
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
citation:
ama: Bodova K, Tkačik G, Barton NH. A general approximation for the dynamics of
quantitative traits. Genetics. 2016;202(4):1523-1548. doi:10.1534/genetics.115.184127
apa: Bodova, K., Tkačik, G., & Barton, N. H. (2016). A general approximation
for the dynamics of quantitative traits. Genetics. Genetics Society of
America. https://doi.org/10.1534/genetics.115.184127
chicago: Bodova, Katarina, Gašper Tkačik, and Nicholas H Barton. “A General Approximation
for the Dynamics of Quantitative Traits.” Genetics. Genetics Society of
America, 2016. https://doi.org/10.1534/genetics.115.184127.
ieee: K. Bodova, G. Tkačik, and N. H. Barton, “A general approximation for the dynamics
of quantitative traits,” Genetics, vol. 202, no. 4. Genetics Society of
America, pp. 1523–1548, 2016.
ista: Bodova K, Tkačik G, Barton NH. 2016. A general approximation for the dynamics
of quantitative traits. Genetics. 202(4), 1523–1548.
mla: Bodova, Katarina, et al. “A General Approximation for the Dynamics of Quantitative
Traits.” Genetics, vol. 202, no. 4, Genetics Society of America, 2016,
pp. 1523–48, doi:10.1534/genetics.115.184127.
short: K. Bodova, G. Tkačik, N.H. Barton, Genetics 202 (2016) 1523–1548.
corr_author: '1'
date_created: 2018-12-11T11:51:55Z
date_published: 2016-04-06T00:00:00Z
date_updated: 2025-09-18T14:22:05Z
day: '06'
department:
- _id: GaTk
- _id: NiBa
doi: 10.1534/genetics.115.184127
ec_funded: 1
external_id:
arxiv:
- '1510.08344'
isi:
- '000373959100022'
intvolume: ' 202'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1510.08344
month: '04'
oa: 1
oa_version: Preprint
page: 1523 - 1548
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
- _id: 255008E4-B435-11E9-9278-68D0E5697425
grant_number: RGP0065/2012
name: Information processing and computation in fish groups
publication: Genetics
publication_status: published
publisher: Genetics Society of America
publist_id: '5787'
quality_controlled: '1'
scopus_import: '1'
status: public
title: A general approximation for the dynamics of quantitative traits
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 202
year: '2016'
...
---
_id: '1242'
abstract:
- lang: eng
text: A crucial step in the regulation of gene expression is binding of transcription
factor (TF) proteins to regulatory sites along the DNA. But transcription factors
act at nanomolar concentrations, and noise due to random arrival of these molecules
at their binding sites can severely limit the precision of regulation. Recent
work on the optimization of information flow through regulatory networks indicates
that the lower end of the dynamic range of concentrations is simply inaccessible,
overwhelmed by the impact of this noise. Motivated by the behavior of homeodomain
proteins, such as the maternal morphogen Bicoid in the fruit fly embryo, we suggest
a scheme in which transcription factors also act as indirect translational regulators,
binding to the mRNA of other regulatory proteins. Intuitively, each mRNA molecule
acts as an independent sensor of the input concentration, and averaging over these
multiple sensors reduces the noise. We analyze information flow through this scheme
and identify conditions under which it outperforms direct transcriptional regulation.
Our results suggest that the dual role of homeodomain proteins is not just a historical
accident, but a solution to a crucial physics problem in the regulation of gene
expression.
acknowledgement: "We thank T. Gregor, A. Prochaintz, and others for\r\nhelpful discussions.
This work was supported in part by\r\nGrants No. PHY-1305525 and No. CCF-0939370
from the\r\nUS National Science Foundation and by the W.M. Keck\r\nFoundation. A.M.W.
acknowledges the support by European\r\nResearch Council (ERC) Grant No. MCCIG PCIG10–GA-\r\n2011–303561.
G.T. and T.R.S. were supported by Austrian\r\nScience Fund (FWF) Grant No. P28844S."
article_number: '022404'
article_processing_charge: No
arxiv: 1
author:
- first_name: Thomas R
full_name: Sokolowski, Thomas R
id: 3E999752-F248-11E8-B48F-1D18A9856A87
last_name: Sokolowski
orcid: 0000-0002-1287-3779
- first_name: Aleksandra
full_name: Walczak, Aleksandra
last_name: Walczak
- first_name: William
full_name: Bialek, William
last_name: Bialek
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
citation:
ama: Sokolowski TR, Walczak A, Bialek W, Tkačik G. Extending the dynamic range of
transcription factor action by translational regulation. Physical Review E
Statistical Nonlinear and Soft Matter Physics. 2016;93(2). doi:10.1103/PhysRevE.93.022404
apa: Sokolowski, T. R., Walczak, A., Bialek, W., & Tkačik, G. (2016). Extending
the dynamic range of transcription factor action by translational regulation.
Physical Review E Statistical Nonlinear and Soft Matter Physics. American
Institute of Physics. https://doi.org/10.1103/PhysRevE.93.022404
chicago: Sokolowski, Thomas R, Aleksandra Walczak, William Bialek, and Gašper Tkačik.
“Extending the Dynamic Range of Transcription Factor Action by Translational Regulation.”
Physical Review E Statistical Nonlinear and Soft Matter Physics. American
Institute of Physics, 2016. https://doi.org/10.1103/PhysRevE.93.022404.
ieee: T. R. Sokolowski, A. Walczak, W. Bialek, and G. Tkačik, “Extending the dynamic
range of transcription factor action by translational regulation,” Physical
Review E Statistical Nonlinear and Soft Matter Physics, vol. 93, no. 2. American
Institute of Physics, 2016.
ista: Sokolowski TR, Walczak A, Bialek W, Tkačik G. 2016. Extending the dynamic
range of transcription factor action by translational regulation. Physical Review
E Statistical Nonlinear and Soft Matter Physics. 93(2), 022404.
mla: Sokolowski, Thomas R., et al. “Extending the Dynamic Range of Transcription
Factor Action by Translational Regulation.” Physical Review E Statistical Nonlinear
and Soft Matter Physics, vol. 93, no. 2, 022404, American Institute of Physics,
2016, doi:10.1103/PhysRevE.93.022404.
short: T.R. Sokolowski, A. Walczak, W. Bialek, G. Tkačik, Physical Review E Statistical
Nonlinear and Soft Matter Physics 93 (2016).
date_created: 2018-12-11T11:50:54Z
date_published: 2016-02-04T00:00:00Z
date_updated: 2025-09-22T09:16:30Z
day: '04'
department:
- _id: GaTk
doi: 10.1103/PhysRevE.93.022404
external_id:
arxiv:
- '1507.02562'
isi:
- '000369439100005'
intvolume: ' 93'
isi: 1
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1507.02562
month: '02'
oa: 1
oa_version: Preprint
project:
- _id: 254E9036-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P28844-B27
name: Biophysics of information processing in gene regulation
publication: Physical Review E Statistical Nonlinear and Soft Matter Physics
publication_status: published
publisher: American Institute of Physics
publist_id: '6088'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Extending the dynamic range of transcription factor action by translational
regulation
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 93
year: '2016'
...
---
_id: '1244'
abstract:
- lang: eng
text: Cell polarity refers to a functional spatial organization of proteins that
is crucial for the control of essential cellular processes such as growth and
division. To establish polarity, cells rely on elaborate regulation networks that
control the distribution of proteins at the cell membrane. In fission yeast cells,
a microtubule-dependent network has been identified that polarizes the distribution
of signaling proteins that restricts growth to cell ends and targets the cytokinetic
machinery to the middle of the cell. Although many molecular components have been
shown to play a role in this network, it remains unknown which molecular functionalities
are minimally required to establish a polarized protein distribution in this system.
Here we show that a membrane-binding protein fragment, which distributes homogeneously
in wild-type fission yeast cells, can be made to concentrate at cell ends by attaching
it to a cytoplasmic microtubule end-binding protein. This concentration results
in a polarized pattern of chimera proteins with a spatial extension that is very
reminiscent of natural polarity patterns in fission yeast. However, chimera levels
fluctuate in response to microtubule dynamics, and disruption of microtubules
leads to disappearance of the pattern. Numerical simulations confirm that the
combined functionality of membrane anchoring and microtubule tip affinity is in
principle sufficient to create polarized patterns. Our chimera protein may thus
represent a simple molecular functionality that is able to polarize the membrane,
onto which additional layers of molecular complexity may be built to provide the
temporal robustness that is typical of natural polarity patterns.
acknowledgement: "We thank Sophie Martin, Ken Sawin, Stephen Huisman,\r\nand Damian
Brunner for strains; Julianne\r\nTeapal, Marcel Janson, Sergio Rincon,\r\nand Phong
Tran for technical assistance; Andrew Mugler and Bela Mulder for\r\ndiscussions;
and Sander Tans, Phong Tran,\r\nand Anne Paoletti for critical reading\r\nof the
manuscript. This work is part of the research program of the\r\n“\r\nStichting\r\nvoor
Fundamenteel Onderzoek de Materie,\r\n”\r\nwhich is financially supported by\r\nthe\r\n“\r\nNederlandse
organisatie voor Wete\r\nnschappelijk Onderzoek (NWO).\r\n”"
article_processing_charge: No
author:
- first_name: Pierre
full_name: Recouvreux, Pierre
last_name: Recouvreux
- first_name: Thomas R
full_name: Sokolowski, Thomas R
id: 3E999752-F248-11E8-B48F-1D18A9856A87
last_name: Sokolowski
orcid: 0000-0002-1287-3779
- first_name: Aristea
full_name: Grammoustianou, Aristea
last_name: Grammoustianou
- first_name: Pieter
full_name: Tenwolde, Pieter
last_name: Tenwolde
- first_name: Marileen
full_name: Dogterom, Marileen
last_name: Dogterom
citation:
ama: Recouvreux P, Sokolowski TR, Grammoustianou A, Tenwolde P, Dogterom M. Chimera
proteins with affinity for membranes and microtubule tips polarize in the membrane
of fission yeast cells. PNAS. 2016;113(7):1811-1816. doi:10.1073/pnas.1419248113
apa: Recouvreux, P., Sokolowski, T. R., Grammoustianou, A., Tenwolde, P., &
Dogterom, M. (2016). Chimera proteins with affinity for membranes and microtubule
tips polarize in the membrane of fission yeast cells. PNAS. National Academy
of Sciences. https://doi.org/10.1073/pnas.1419248113
chicago: Recouvreux, Pierre, Thomas R Sokolowski, Aristea Grammoustianou, Pieter
Tenwolde, and Marileen Dogterom. “Chimera Proteins with Affinity for Membranes
and Microtubule Tips Polarize in the Membrane of Fission Yeast Cells.” PNAS.
National Academy of Sciences, 2016. https://doi.org/10.1073/pnas.1419248113.
ieee: P. Recouvreux, T. R. Sokolowski, A. Grammoustianou, P. Tenwolde, and M. Dogterom,
“Chimera proteins with affinity for membranes and microtubule tips polarize in
the membrane of fission yeast cells,” PNAS, vol. 113, no. 7. National Academy
of Sciences, pp. 1811–1816, 2016.
ista: Recouvreux P, Sokolowski TR, Grammoustianou A, Tenwolde P, Dogterom M. 2016.
Chimera proteins with affinity for membranes and microtubule tips polarize in
the membrane of fission yeast cells. PNAS. 113(7), 1811–1816.
mla: Recouvreux, Pierre, et al. “Chimera Proteins with Affinity for Membranes and
Microtubule Tips Polarize in the Membrane of Fission Yeast Cells.” PNAS,
vol. 113, no. 7, National Academy of Sciences, 2016, pp. 1811–16, doi:10.1073/pnas.1419248113.
short: P. Recouvreux, T.R. Sokolowski, A. Grammoustianou, P. Tenwolde, M. Dogterom,
PNAS 113 (2016) 1811–1816.
date_created: 2018-12-11T11:50:55Z
date_published: 2016-02-16T00:00:00Z
date_updated: 2025-09-22T09:15:17Z
day: '16'
department:
- _id: GaTk
doi: 10.1073/pnas.1419248113
external_id:
isi:
- '000370220000046'
intvolume: ' 113'
isi: 1
issue: '7'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4763754/
month: '02'
oa: 1
oa_version: Submitted Version
page: 1811 - 1816
publication: PNAS
publication_status: published
publisher: National Academy of Sciences
publist_id: '6085'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Chimera proteins with affinity for membranes and microtubule tips polarize
in the membrane of fission yeast cells
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 113
year: '2016'
...
---
_id: '1248'
abstract:
- lang: eng
text: Life depends as much on the flow of information as on the flow of energy.
Here we review the many efforts to make this intuition precise. Starting with
the building blocks of information theory, we explore examples where it has been
possible to measure, directly, the flow of information in biological networks,
or more generally where information-theoretic ideas have been used to guide the
analysis of experiments. Systems of interest range from single molecules (the
sequence diversity in families of proteins) to groups of organisms (the distribution
of velocities in flocks of birds), and all scales in between. Many of these analyses
are motivated by the idea that biological systems may have evolved to optimize
the gathering and representation of information, and we review the experimental
evidence for this optimization, again across a wide range of scales.
acknowledgement: "Our work was supported in part by the US\r\nNational Science Foundation
(PHY–1305525 and CCF–\r\n0939370), by the Austrian Science Foundation (FWF\r\nP25651),
by the Human Frontiers Science Program, and\r\nby the Simons and Swartz Foundations."
article_processing_charge: No
arxiv: 1
author:
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
- first_name: William
full_name: Bialek, William
last_name: Bialek
citation:
ama: Tkačik G, Bialek W. Information processing in living systems. Annual Review
of Condensed Matter Physics. 2016;7:89-117. doi:10.1146/annurev-conmatphys-031214-014803
apa: Tkačik, G., & Bialek, W. (2016). Information processing in living systems.
Annual Review of Condensed Matter Physics. Annual Reviews. https://doi.org/10.1146/annurev-conmatphys-031214-014803
chicago: Tkačik, Gašper, and William Bialek. “Information Processing in Living Systems.”
Annual Review of Condensed Matter Physics. Annual Reviews, 2016. https://doi.org/10.1146/annurev-conmatphys-031214-014803.
ieee: G. Tkačik and W. Bialek, “Information processing in living systems,” Annual
Review of Condensed Matter Physics, vol. 7. Annual Reviews, pp. 89–117, 2016.
ista: Tkačik G, Bialek W. 2016. Information processing in living systems. Annual
Review of Condensed Matter Physics. 7, 89–117.
mla: Tkačik, Gašper, and William Bialek. “Information Processing in Living Systems.”
Annual Review of Condensed Matter Physics, vol. 7, Annual Reviews, 2016,
pp. 89–117, doi:10.1146/annurev-conmatphys-031214-014803.
short: G. Tkačik, W. Bialek, Annual Review of Condensed Matter Physics 7 (2016)
89–117.
date_created: 2018-12-11T11:50:56Z
date_published: 2016-03-10T00:00:00Z
date_updated: 2025-09-22T09:12:56Z
day: '10'
department:
- _id: GaTk
doi: 10.1146/annurev-conmatphys-031214-014803
external_id:
arxiv:
- '1412.8752'
isi:
- '000372188500005'
intvolume: ' 7'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1412.8752
month: '03'
oa: 1
oa_version: Preprint
page: 89 - 117
project:
- _id: 254D1A94-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P 25651-N26
name: Sensitivity to higher-order statistics in natural scenes
publication: Annual Review of Condensed Matter Physics
publication_status: published
publisher: Annual Reviews
publist_id: '6080'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Information processing in living systems
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 7
year: '2016'
...
---
_id: '1260'
abstract:
- lang: eng
text: In this work, the Gardner problem of inferring interactions and fields for
an Ising neural network from given patterns under a local stability hypothesis
is addressed under a dual perspective. By means of duality arguments, an integer
linear system is defined whose solution space is the dual of the Gardner space
and whose solutions represent mutually unstable patterns. We propose and discuss
Monte Carlo methods in order to find and remove unstable patterns and uniformly
sample the space of interactions thereafter. We illustrate the problem on a set
of real data and perform ensemble calculation that shows how the emergence of
phase dominated by unstable patterns can be triggered in a nonlinear discontinuous
way.
article_number: '1650067'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Daniele
full_name: De Martino, Daniele
id: 3FF5848A-F248-11E8-B48F-1D18A9856A87
last_name: De Martino
orcid: 0000-0002-5214-4706
citation:
ama: De Martino D. The dual of the space of interactions in neural network models.
International Journal of Modern Physics C. 2016;27(6). doi:10.1142/S0129183116500674
apa: De Martino, D. (2016). The dual of the space of interactions in neural network
models. International Journal of Modern Physics C. World Scientific Publishing.
https://doi.org/10.1142/S0129183116500674
chicago: De Martino, Daniele. “The Dual of the Space of Interactions in Neural Network
Models.” International Journal of Modern Physics C. World Scientific Publishing,
2016. https://doi.org/10.1142/S0129183116500674.
ieee: D. De Martino, “The dual of the space of interactions in neural network models,”
International Journal of Modern Physics C, vol. 27, no. 6. World Scientific
Publishing, 2016.
ista: De Martino D. 2016. The dual of the space of interactions in neural network
models. International Journal of Modern Physics C. 27(6), 1650067.
mla: De Martino, Daniele. “The Dual of the Space of Interactions in Neural Network
Models.” International Journal of Modern Physics C, vol. 27, no. 6, 1650067,
World Scientific Publishing, 2016, doi:10.1142/S0129183116500674.
short: D. De Martino, International Journal of Modern Physics C 27 (2016).
corr_author: '1'
date_created: 2018-12-11T11:51:00Z
date_published: 2016-06-01T00:00:00Z
date_updated: 2025-09-22T09:01:25Z
day: '01'
department:
- _id: GaTk
doi: 10.1142/S0129183116500674
external_id:
arxiv:
- '1505.02963'
isi:
- '000377674800010'
intvolume: ' 27'
isi: 1
issue: '6'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1505.02963
month: '06'
oa: 1
oa_version: Preprint
publication: International Journal of Modern Physics C
publication_status: published
publisher: World Scientific Publishing
publist_id: '6065'
quality_controlled: '1'
scopus_import: '1'
status: public
title: The dual of the space of interactions in neural network models
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 27
year: '2016'
...
---
_id: '1266'
abstract:
- lang: eng
text: 'Cortical networks exhibit ‘global oscillations’, in which neural spike times
are entrained to an underlying oscillatory rhythm, but where individual neurons
fire irregularly, on only a fraction of cycles. While the network dynamics underlying
global oscillations have been well characterised, their function is debated. Here,
we show that such global oscillations are a direct consequence of optimal efficient
coding in spiking networks with synaptic delays and noise. To avoid firing unnecessary
spikes, neurons need to share information about the network state. Ideally, membrane
potentials should be strongly correlated and reflect a ‘prediction error’ while
the spikes themselves are uncorrelated and occur rarely. We show that the most
efficient representation is when: (i) spike times are entrained to a global Gamma
rhythm (implying a consistent representation of the error); but (ii) few neurons
fire on each cycle (implying high efficiency), while (iii) excitation and inhibition
are tightly balanced. This suggests that cortical networks exhibiting such dynamics
are tuned to achieve a maximally efficient population code.'
acknowledgement: Boris Gutkin acknowledges funding by the Russian Academic Excellence
Project '5-100’.
article_number: e13824
article_processing_charge: No
author:
- first_name: Matthew J
full_name: Chalk, Matthew J
id: 2BAAC544-F248-11E8-B48F-1D18A9856A87
last_name: Chalk
orcid: 0000-0001-7782-4436
- first_name: Boris
full_name: Gutkin, Boris
last_name: Gutkin
- first_name: Sophie
full_name: Denève, Sophie
last_name: Denève
citation:
ama: Chalk MJ, Gutkin B, Denève S. Neural oscillations as a signature of efficient
coding in the presence of synaptic delays. eLife. 2016;5(2016JULY). doi:10.7554/eLife.13824
apa: Chalk, M. J., Gutkin, B., & Denève, S. (2016). Neural oscillations as a
signature of efficient coding in the presence of synaptic delays. ELife.
eLife Sciences Publications. https://doi.org/10.7554/eLife.13824
chicago: Chalk, Matthew J, Boris Gutkin, and Sophie Denève. “Neural Oscillations
as a Signature of Efficient Coding in the Presence of Synaptic Delays.” ELife.
eLife Sciences Publications, 2016. https://doi.org/10.7554/eLife.13824.
ieee: M. J. Chalk, B. Gutkin, and S. Denève, “Neural oscillations as a signature
of efficient coding in the presence of synaptic delays,” eLife, vol. 5,
no. 2016JULY. eLife Sciences Publications, 2016.
ista: Chalk MJ, Gutkin B, Denève S. 2016. Neural oscillations as a signature of
efficient coding in the presence of synaptic delays. eLife. 5(2016JULY), e13824.
mla: Chalk, Matthew J., et al. “Neural Oscillations as a Signature of Efficient
Coding in the Presence of Synaptic Delays.” ELife, vol. 5, no. 2016JULY,
e13824, eLife Sciences Publications, 2016, doi:10.7554/eLife.13824.
short: M.J. Chalk, B. Gutkin, S. Denève, ELife 5 (2016).
corr_author: '1'
date_created: 2018-12-11T11:51:02Z
date_published: 2016-07-01T00:00:00Z
date_updated: 2025-09-22T08:49:58Z
day: '01'
ddc:
- '571'
department:
- _id: GaTk
doi: 10.7554/eLife.13824
external_id:
isi:
- '000380855400001'
file:
- access_level: open_access
checksum: dc52d967dc76174477bb258d84be2899
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:11:20Z
date_updated: 2020-07-14T12:44:42Z
file_id: '4874'
file_name: IST-2016-700-v1+1_e13824-download.pdf
file_size: 2819055
relation: main_file
file_date_updated: 2020-07-14T12:44:42Z
has_accepted_license: '1'
intvolume: ' 5'
isi: 1
issue: 2016JULY
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
publication: eLife
publication_status: published
publisher: eLife Sciences Publications
publist_id: '6056'
pubrep_id: '700'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Neural oscillations as a signature of efficient coding in the presence of synaptic
delays
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 5
year: '2016'
...
---
_id: '1270'
abstract:
- lang: eng
text: A crucial step in the early development of multicellular organisms involves
the establishment of spatial patterns of gene expression which later direct proliferating
cells to take on different cell fates. These patterns enable the cells to infer
their global position within a tissue or an organism by reading out local gene
expression levels. The patterning system is thus said to encode positional information,
a concept that was formalized recently in the framework of information theory.
Here we introduce a toy model of patterning in one spatial dimension, which can
be seen as an extension of Wolpert's paradigmatic "French Flag" model,
to patterning by several interacting, spatially coupled genes subject to intrinsic
and extrinsic noise. Our model, a variant of an Ising spin system, allows us to
systematically explore expression patterns that optimally encode positional information.
We find that optimal patterning systems use positional cues, as in the French
Flag model, together with gene-gene interactions to generate combinatorial codes
for position which we call "Counter" patterns. Counter patterns can
also be stabilized against noise and variations in system size or morphogen dosage
by longer-range spatial interactions of the type invoked in the Turing model.
The simple setup proposed here qualitatively captures many of the experimentally
observed properties of biological patterning systems and allows them to be studied
in a single, theoretically consistent framework.
acknowledgement: The authors would like to thank Thomas Sokolowski and Filipe Tostevin
for helpful discussions. PH and UG were funded by the German Excellence Initiative
via the program "Nanosystems Initiative Munich" (https://www.nano-initiative-munich.de)
and the German Research Foundation via the SFB 1032 "Nanoagents for Spatiotemporal
Control of Molecular and Cellular Reactions" (http://www.sfb1032.physik.uni-muenchen.de).
GT was funded by the Austrian Science Fund (FWF P 28844) (http://www.fwf.ac.at).
article_number: e0163628
article_processing_charge: No
author:
- first_name: Patrick
full_name: Hillenbrand, Patrick
last_name: Hillenbrand
- first_name: Ulrich
full_name: Gerland, Ulrich
last_name: Gerland
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
citation:
ama: 'Hillenbrand P, Gerland U, Tkačik G. Beyond the French flag model: Exploiting
spatial and gene regulatory interactions for positional information. PLoS One.
2016;11(9). doi:10.1371/journal.pone.0163628'
apa: 'Hillenbrand, P., Gerland, U., & Tkačik, G. (2016). Beyond the French flag
model: Exploiting spatial and gene regulatory interactions for positional information.
PLoS One. Public Library of Science. https://doi.org/10.1371/journal.pone.0163628'
chicago: 'Hillenbrand, Patrick, Ulrich Gerland, and Gašper Tkačik. “Beyond the French
Flag Model: Exploiting Spatial and Gene Regulatory Interactions for Positional
Information.” PLoS One. Public Library of Science, 2016. https://doi.org/10.1371/journal.pone.0163628.'
ieee: 'P. Hillenbrand, U. Gerland, and G. Tkačik, “Beyond the French flag model:
Exploiting spatial and gene regulatory interactions for positional information,”
PLoS One, vol. 11, no. 9. Public Library of Science, 2016.'
ista: 'Hillenbrand P, Gerland U, Tkačik G. 2016. Beyond the French flag model: Exploiting
spatial and gene regulatory interactions for positional information. PLoS One.
11(9), e0163628.'
mla: 'Hillenbrand, Patrick, et al. “Beyond the French Flag Model: Exploiting Spatial
and Gene Regulatory Interactions for Positional Information.” PLoS One,
vol. 11, no. 9, e0163628, Public Library of Science, 2016, doi:10.1371/journal.pone.0163628.'
short: P. Hillenbrand, U. Gerland, G. Tkačik, PLoS One 11 (2016).
corr_author: '1'
date_created: 2018-12-11T11:51:03Z
date_published: 2016-09-27T00:00:00Z
date_updated: 2025-09-22T08:46:15Z
day: '27'
ddc:
- '571'
department:
- _id: GaTk
doi: 10.1371/journal.pone.0163628
external_id:
isi:
- '000384169900025'
file:
- access_level: open_access
checksum: 3d0d55d373096a033bd9cf79288c8586
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:10:47Z
date_updated: 2020-07-14T12:44:42Z
file_id: '4837'
file_name: IST-2016-696-v1+1_journal.pone.0163628.PDF
file_size: 4950415
relation: main_file
file_date_updated: 2020-07-14T12:44:42Z
has_accepted_license: '1'
intvolume: ' 11'
isi: 1
issue: '9'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
project:
- _id: 254E9036-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P28844-B27
name: Biophysics of information processing in gene regulation
publication: PLoS One
publication_status: published
publisher: Public Library of Science
publist_id: '6050'
pubrep_id: '696'
quality_controlled: '1'
related_material:
record:
- id: '9869'
relation: research_data
status: public
- id: '9870'
relation: research_data
status: public
- id: '9871'
relation: research_data
status: public
scopus_import: '1'
status: public
title: 'Beyond the French flag model: Exploiting spatial and gene regulatory interactions
for positional information'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 11
year: '2016'
...
---
_id: '1290'
abstract:
- lang: eng
text: We developed a competition-based screening strategy to identify compounds
that invert the selective advantage of antibiotic resistance. Using our assay,
we screened over 19,000 compounds for the ability to select against the TetA tetracycline-resistance
efflux pump in Escherichia coli and identified two hits, β-thujaplicin and disulfiram.
Treating a tetracycline-resistant population with β-thujaplicin selects for loss
of the resistance gene, enabling an effective second-phase treatment with doxycycline.
acknowledgement: "This work was supported in part by National Institute of Allergy
and Infectious Diseases grant U54 AI057159, US National Institutes of Health grants
R01 GM081617 (to R.K.) and GM086258 (to J.C.), European Research Council FP7 ERC
grant 281891 (to R.K.) and a National Science Foundation Graduate Fellowship (to
L.K.S.).\r\n"
article_processing_charge: No
author:
- first_name: Laura
full_name: Stone, Laura
last_name: Stone
- first_name: Michael
full_name: Baym, Michael
last_name: Baym
- first_name: Tami
full_name: Lieberman, Tami
last_name: Lieberman
- first_name: Remy P
full_name: Chait, Remy P
id: 3464AE84-F248-11E8-B48F-1D18A9856A87
last_name: Chait
orcid: 0000-0003-0876-3187
- first_name: Jon
full_name: Clardy, Jon
last_name: Clardy
- first_name: Roy
full_name: Kishony, Roy
last_name: Kishony
citation:
ama: Stone L, Baym M, Lieberman T, Chait RP, Clardy J, Kishony R. Compounds that
select against the tetracycline-resistance efflux pump. Nature Chemical Biology.
2016;12(11):902-904. doi:10.1038/nchembio.2176
apa: Stone, L., Baym, M., Lieberman, T., Chait, R. P., Clardy, J., & Kishony,
R. (2016). Compounds that select against the tetracycline-resistance efflux pump.
Nature Chemical Biology. Nature Publishing Group. https://doi.org/10.1038/nchembio.2176
chicago: Stone, Laura, Michael Baym, Tami Lieberman, Remy P Chait, Jon Clardy, and
Roy Kishony. “Compounds That Select against the Tetracycline-Resistance Efflux
Pump.” Nature Chemical Biology. Nature Publishing Group, 2016. https://doi.org/10.1038/nchembio.2176.
ieee: L. Stone, M. Baym, T. Lieberman, R. P. Chait, J. Clardy, and R. Kishony, “Compounds
that select against the tetracycline-resistance efflux pump,” Nature Chemical
Biology, vol. 12, no. 11. Nature Publishing Group, pp. 902–904, 2016.
ista: Stone L, Baym M, Lieberman T, Chait RP, Clardy J, Kishony R. 2016. Compounds
that select against the tetracycline-resistance efflux pump. Nature Chemical Biology.
12(11), 902–904.
mla: Stone, Laura, et al. “Compounds That Select against the Tetracycline-Resistance
Efflux Pump.” Nature Chemical Biology, vol. 12, no. 11, Nature Publishing
Group, 2016, pp. 902–04, doi:10.1038/nchembio.2176.
short: L. Stone, M. Baym, T. Lieberman, R.P. Chait, J. Clardy, R. Kishony, Nature
Chemical Biology 12 (2016) 902–904.
date_created: 2018-12-11T11:51:10Z
date_published: 2016-11-01T00:00:00Z
date_updated: 2025-09-22T08:30:48Z
day: '01'
department:
- _id: CaGu
- _id: GaTk
doi: 10.1038/nchembio.2176
external_id:
isi:
- '000386798800008'
intvolume: ' 12'
isi: 1
issue: '11'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069154/
month: '11'
oa: 1
oa_version: Preprint
page: 902 - 904
publication: Nature Chemical Biology
publication_status: published
publisher: Nature Publishing Group
publist_id: '6026'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Compounds that select against the tetracycline-resistance efflux pump
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 12
year: '2016'
...
---
OA_place: repository
OA_type: green
_id: '1320'
abstract:
- lang: eng
text: 'In recent years, several biomolecular systems have been shown to be scale-invariant
(SI), i.e. to show the same output dynamics when exposed to geometrically scaled
input signals (u → pu, p > 0) after pre-adaptation to accordingly scaled constant
inputs. In this article, we show that SI systems-as well as systems invariant
with respect to other input transformations-can realize nonlinear differential
operators: when excited by inputs obeying functional forms characteristic for
a given class of invariant systems, the systems'' outputs converge to constant
values directly quantifying the speed of the input.'
acknowledgement: The research leading to these results has received funding from the
People Programme (Marie Curie Actions) of the European Union's Seventh Framework
Programme (FP7/2007-2013) under REA grant agreement n° [291734]. Work supported
in part by grants AFOSR FA9550-14-1-0060 and NIH 1R01GM100473.
article_number: '7526722'
article_processing_charge: No
author:
- first_name: Moritz
full_name: Lang, Moritz
id: 29E0800A-F248-11E8-B48F-1D18A9856A87
last_name: Lang
- first_name: Eduardo
full_name: Sontag, Eduardo
last_name: Sontag
citation:
ama: 'Lang M, Sontag E. Scale-invariant systems realize nonlinear differential operators.
In: Vol 2016-July. IEEE; 2016. doi:10.1109/ACC.2016.7526722'
apa: 'Lang, M., & Sontag, E. (2016). Scale-invariant systems realize nonlinear
differential operators (Vol. 2016–July). Presented at the ACC: American Control
Conference, Boston, MA, USA: IEEE. https://doi.org/10.1109/ACC.2016.7526722'
chicago: Lang, Moritz, and Eduardo Sontag. “Scale-Invariant Systems Realize Nonlinear
Differential Operators,” Vol. 2016–July. IEEE, 2016. https://doi.org/10.1109/ACC.2016.7526722.
ieee: 'M. Lang and E. Sontag, “Scale-invariant systems realize nonlinear differential
operators,” presented at the ACC: American Control Conference, Boston, MA, USA,
2016, vol. 2016–July.'
ista: 'Lang M, Sontag E. 2016. Scale-invariant systems realize nonlinear differential
operators. ACC: American Control Conference vol. 2016–July, 7526722.'
mla: Lang, Moritz, and Eduardo Sontag. Scale-Invariant Systems Realize Nonlinear
Differential Operators. Vol. 2016–July, 7526722, IEEE, 2016, doi:10.1109/ACC.2016.7526722.
short: M. Lang, E. Sontag, in:, IEEE, 2016.
conference:
end_date: 2016-07-08
location: Boston, MA, USA
name: 'ACC: American Control Conference'
start_date: 2016-07-06
date_created: 2018-12-11T11:51:21Z
date_published: 2016-07-28T00:00:00Z
date_updated: 2025-06-25T11:46:37Z
day: '28'
ddc:
- '003'
- '621'
department:
- _id: CaGu
- _id: GaTk
doi: 10.1109/ACC.2016.7526722
ec_funded: 1
file:
- access_level: open_access
checksum: 7219432b43defc62a0d45f48d4ce6a19
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:16:17Z
date_updated: 2025-06-25T11:46:36Z
file_id: '5203'
file_name: IST-2017-810-v1+1_root.pdf
file_size: 539166
relation: main_file
file_date_updated: 2025-06-25T11:46:36Z
has_accepted_license: '1'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Submitted Version
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication_status: published
publisher: IEEE
publist_id: '5950'
pubrep_id: '810'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Scale-invariant systems realize nonlinear differential operators
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 2016-July
year: '2016'
...
---
_id: '1332'
abstract:
- lang: eng
text: Antibiotic-sensitive and -resistant bacteria coexist in natural environments
with low, if detectable, antibiotic concentrations. Except possibly around localized
antibiotic sources, where resistance can provide a strong advantage, bacterial
fitness is dominated by stresses unaffected by resistance to the antibiotic. How
do such mixed and heterogeneous conditions influence the selective advantage or
disadvantage of antibiotic resistance? Here we find that sub-inhibitory levels
of tetracyclines potentiate selection for or against tetracycline resistance around
localized sources of almost any toxin or stress. Furthermore, certain stresses
generate alternating rings of selection for and against resistance around a localized
source of the antibiotic. In these conditions, localized antibiotic sources, even
at high strengths, can actually produce a net selection against resistance to
the antibiotic. Our results show that interactions between the effects of an antibiotic
and other stresses in inhomogeneous environments can generate pervasive, complex
patterns of selection both for and against antibiotic resistance.
acknowledgement: This work was partially supported by US National Institutes of Health
grant R01-GM081617, Israeli Centers of Research Excellence I-CORE Program ISF Grant
No. 152/11, and the European Research Council FP7 ERC Grant 281891.
article_number: '10333'
article_processing_charge: No
author:
- first_name: Remy P
full_name: Chait, Remy P
id: 3464AE84-F248-11E8-B48F-1D18A9856A87
last_name: Chait
orcid: 0000-0003-0876-3187
- first_name: Adam
full_name: Palmer, Adam
last_name: Palmer
- first_name: Idan
full_name: Yelin, Idan
last_name: Yelin
- first_name: Roy
full_name: Kishony, Roy
last_name: Kishony
citation:
ama: Chait RP, Palmer A, Yelin I, Kishony R. Pervasive selection for and against
antibiotic resistance in inhomogeneous multistress environments. Nature Communications.
2016;7. doi:10.1038/ncomms10333
apa: Chait, R. P., Palmer, A., Yelin, I., & Kishony, R. (2016). Pervasive selection
for and against antibiotic resistance in inhomogeneous multistress environments.
Nature Communications. Nature Publishing Group. https://doi.org/10.1038/ncomms10333
chicago: Chait, Remy P, Adam Palmer, Idan Yelin, and Roy Kishony. “Pervasive Selection
for and against Antibiotic Resistance in Inhomogeneous Multistress Environments.”
Nature Communications. Nature Publishing Group, 2016. https://doi.org/10.1038/ncomms10333.
ieee: R. P. Chait, A. Palmer, I. Yelin, and R. Kishony, “Pervasive selection for
and against antibiotic resistance in inhomogeneous multistress environments,”
Nature Communications, vol. 7. Nature Publishing Group, 2016.
ista: Chait RP, Palmer A, Yelin I, Kishony R. 2016. Pervasive selection for and
against antibiotic resistance in inhomogeneous multistress environments. Nature
Communications. 7, 10333.
mla: Chait, Remy P., et al. “Pervasive Selection for and against Antibiotic Resistance
in Inhomogeneous Multistress Environments.” Nature Communications, vol.
7, 10333, Nature Publishing Group, 2016, doi:10.1038/ncomms10333.
short: R.P. Chait, A. Palmer, I. Yelin, R. Kishony, Nature Communications 7 (2016).
date_created: 2018-12-11T11:51:25Z
date_published: 2016-01-20T00:00:00Z
date_updated: 2025-09-22T08:22:19Z
day: '20'
ddc:
- '570'
- '579'
department:
- _id: CaGu
- _id: GaTk
doi: 10.1038/ncomms10333
external_id:
isi:
- '000369021700002'
file:
- access_level: open_access
checksum: ef147bcbb8bd37e9079cf3ce06f5815d
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:13:52Z
date_updated: 2020-07-14T12:44:44Z
file_id: '5039'
file_name: IST-2016-662-v1+1_ncomms10333.pdf
file_size: 1844107
relation: main_file
file_date_updated: 2020-07-14T12:44:44Z
has_accepted_license: '1'
intvolume: ' 7'
isi: 1
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
publication: Nature Communications
publication_status: published
publisher: Nature Publishing Group
publist_id: '5936'
pubrep_id: '662'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Pervasive selection for and against antibiotic resistance in inhomogeneous
multistress environments
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 7
year: '2016'
...
---
_id: '1485'
abstract:
- lang: eng
text: In this article the notion of metabolic turnover is revisited in the light
of recent results of out-of-equilibrium thermodynamics. By means of Monte Carlo
methods we perform an exact sampling of the enzymatic fluxes in a genome scale
metabolic network of E. Coli in stationary growth conditions from which we infer
the metabolites turnover times. However the latter are inferred from net fluxes,
and we argue that this approximation is not valid for enzymes working nearby thermodynamic
equilibrium. We recalculate turnover times from total fluxes by performing an
energy balance analysis of the network and recurring to the fluctuation theorem.
We find in many cases values one of order of magnitude lower, implying a faster
picture of intermediate metabolism.
article_number: '016003'
article_processing_charge: No
arxiv: 1
author:
- first_name: Daniele
full_name: De Martino, Daniele
id: 3FF5848A-F248-11E8-B48F-1D18A9856A87
last_name: De Martino
orcid: 0000-0002-5214-4706
citation:
ama: De Martino D. Genome-scale estimate of the metabolic turnover of E. Coli from
the energy balance analysis. Physical Biology. 2016;13(1). doi:10.1088/1478-3975/13/1/016003
apa: De Martino, D. (2016). Genome-scale estimate of the metabolic turnover of E.
Coli from the energy balance analysis. Physical Biology. IOP Publishing.
https://doi.org/10.1088/1478-3975/13/1/016003
chicago: De Martino, Daniele. “Genome-Scale Estimate of the Metabolic Turnover of
E. Coli from the Energy Balance Analysis.” Physical Biology. IOP Publishing,
2016. https://doi.org/10.1088/1478-3975/13/1/016003.
ieee: D. De Martino, “Genome-scale estimate of the metabolic turnover of E. Coli
from the energy balance analysis,” Physical Biology, vol. 13, no. 1. IOP
Publishing, 2016.
ista: De Martino D. 2016. Genome-scale estimate of the metabolic turnover of E.
Coli from the energy balance analysis. Physical Biology. 13(1), 016003.
mla: De Martino, Daniele. “Genome-Scale Estimate of the Metabolic Turnover of E.
Coli from the Energy Balance Analysis.” Physical Biology, vol. 13, no.
1, 016003, IOP Publishing, 2016, doi:10.1088/1478-3975/13/1/016003.
short: D. De Martino, Physical Biology 13 (2016).
corr_author: '1'
date_created: 2018-12-11T11:52:18Z
date_published: 2016-01-29T00:00:00Z
date_updated: 2025-09-18T11:34:17Z
day: '29'
department:
- _id: GaTk
doi: 10.1088/1478-3975/13/1/016003
ec_funded: 1
external_id:
arxiv:
- '1505.04613'
isi:
- '000371585200003'
intvolume: ' 13'
isi: 1
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1505.04613
month: '01'
oa: 1
oa_version: Preprint
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: Physical Biology
publication_status: published
publisher: IOP Publishing
publist_id: '5702'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Genome-scale estimate of the metabolic turnover of E. Coli from the energy
balance analysis
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 13
year: '2016'
...
---
_id: '1082'
abstract:
- lang: eng
text: In many applications, it is desirable to extract only the relevant aspects
of data. A principled way to do this is the information bottleneck (IB) method,
where one seeks a code that maximises information about a relevance variable,
Y, while constraining the information encoded about the original data, X. Unfortunately
however, the IB method is computationally demanding when data are high-dimensional
and/or non-gaussian. Here we propose an approximate variational scheme for maximising
a lower bound on the IB objective, analogous to variational EM. Using this method,
we derive an IB algorithm to recover features that are both relevant and sparse.
Finally, we demonstrate how kernelised versions of the algorithm can be used to
address a broad range of problems with non-linear relation between X and Y.
alternative_title:
- Advances in Neural Information Processing Systems
article_processing_charge: No
arxiv: 1
author:
- first_name: Matthew J
full_name: Chalk, Matthew J
id: 2BAAC544-F248-11E8-B48F-1D18A9856A87
last_name: Chalk
orcid: 0000-0001-7782-4436
- first_name: Olivier
full_name: Marre, Olivier
last_name: Marre
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
citation:
ama: 'Chalk MJ, Marre O, Tkačik G. Relevant sparse codes with variational information
bottleneck. In: Vol 29. Neural Information Processing Systems Foundation; 2016:1965-1973.'
apa: 'Chalk, M. J., Marre, O., & Tkačik, G. (2016). Relevant sparse codes with
variational information bottleneck (Vol. 29, pp. 1965–1973). Presented at the
NIPS: Neural Information Processing Systems, Barcelona, Spain: Neural Information
Processing Systems Foundation.'
chicago: Chalk, Matthew J, Olivier Marre, and Gašper Tkačik. “Relevant Sparse Codes
with Variational Information Bottleneck,” 29:1965–73. Neural Information Processing
Systems Foundation, 2016.
ieee: 'M. J. Chalk, O. Marre, and G. Tkačik, “Relevant sparse codes with variational
information bottleneck,” presented at the NIPS: Neural Information Processing
Systems, Barcelona, Spain, 2016, vol. 29, pp. 1965–1973.'
ista: 'Chalk MJ, Marre O, Tkačik G. 2016. Relevant sparse codes with variational
information bottleneck. NIPS: Neural Information Processing Systems, Advances
in Neural Information Processing Systems, vol. 29, 1965–1973.'
mla: Chalk, Matthew J., et al. Relevant Sparse Codes with Variational Information
Bottleneck. Vol. 29, Neural Information Processing Systems Foundation, 2016,
pp. 1965–73.
short: M.J. Chalk, O. Marre, G. Tkačik, in:, Neural Information Processing Systems
Foundation, 2016, pp. 1965–1973.
conference:
end_date: 2016-12-10
location: Barcelona, Spain
name: 'NIPS: Neural Information Processing Systems'
start_date: 2016-12-05
date_created: 2018-12-11T11:50:03Z
date_published: 2016-12-01T00:00:00Z
date_updated: 2025-06-03T11:33:51Z
day: '01'
department:
- _id: GaTk
external_id:
arxiv:
- '1605.07332'
intvolume: ' 29'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1605.07332
month: '12'
oa: 1
oa_version: Preprint
page: 1965-1973
publication_status: published
publisher: Neural Information Processing Systems Foundation
publist_id: '6298'
quality_controlled: '1'
related_material:
link:
- relation: other
url: https://papers.nips.cc/paper/6101-relevant-sparse-codes-with-variational-information-bottleneck
scopus_import: '1'
status: public
title: Relevant sparse codes with variational information bottleneck
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 29
year: '2016'
...
---
_id: '1105'
abstract:
- lang: eng
text: Jointly characterizing neural responses in terms of several external variables
promises novel insights into circuit function, but remains computationally prohibitive
in practice. Here we use gaussian process (GP) priors and exploit recent advances
in fast GP inference and learning based on Kronecker methods, to efficiently estimate
multidimensional nonlinear tuning functions. Our estimator require considerably
less data than traditional methods and further provides principled uncertainty
estimates. We apply these tools to hippocampal recordings during open field exploration
and use them to characterize the joint dependence of CA1 responses on the position
of the animal and several other variables, including the animal\'s speed, direction
of motion, and network oscillations.Our results provide an unprecedentedly detailed
quantification of the tuning of hippocampal neurons. The model\'s generality suggests
that our approach can be used to estimate neural response properties in other
brain regions.
acknowledgement: "We thank Jozsef Csicsvari for kindly sharing the CA1 data.\r\nThis
work was supported by the People Programme (Marie Curie Actions) of the European
Union’s Seventh Framework Programme(FP7/2007-2013) under REA grant agreement no.
291734."
alternative_title:
- Advances in Neural Information Processing Systems
article_processing_charge: No
author:
- first_name: Cristina
full_name: Savin, Cristina
id: 3933349E-F248-11E8-B48F-1D18A9856A87
last_name: Savin
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
citation:
ama: 'Savin C, Tkačik G. Estimating nonlinear neural response functions using GP
priors and Kronecker methods. In: Vol 29. Neural Information Processing Systems
Foundation; 2016:3610-3618.'
apa: 'Savin, C., & Tkačik, G. (2016). Estimating nonlinear neural response functions
using GP priors and Kronecker methods (Vol. 29, pp. 3610–3618). Presented at the
NIPS: Neural Information Processing Systems, Barcelona; Spain: Neural Information
Processing Systems Foundation.'
chicago: Savin, Cristina, and Gašper Tkačik. “Estimating Nonlinear Neural Response
Functions Using GP Priors and Kronecker Methods,” 29:3610–18. Neural Information
Processing Systems Foundation, 2016.
ieee: 'C. Savin and G. Tkačik, “Estimating nonlinear neural response functions using
GP priors and Kronecker methods,” presented at the NIPS: Neural Information Processing
Systems, Barcelona; Spain, 2016, vol. 29, pp. 3610–3618.'
ista: 'Savin C, Tkačik G. 2016. Estimating nonlinear neural response functions using
GP priors and Kronecker methods. NIPS: Neural Information Processing Systems,
Advances in Neural Information Processing Systems, vol. 29, 3610–3618.'
mla: Savin, Cristina, and Gašper Tkačik. Estimating Nonlinear Neural Response
Functions Using GP Priors and Kronecker Methods. Vol. 29, Neural Information
Processing Systems Foundation, 2016, pp. 3610–18.
short: C. Savin, G. Tkačik, in:, Neural Information Processing Systems Foundation,
2016, pp. 3610–3618.
conference:
end_date: 2016-12-10
location: Barcelona; Spain
name: 'NIPS: Neural Information Processing Systems'
start_date: 2016-12-05
corr_author: '1'
date_created: 2018-12-11T11:50:10Z
date_published: 2016-12-01T00:00:00Z
date_updated: 2025-06-03T11:36:49Z
day: '01'
department:
- _id: GaTk
ec_funded: 1
intvolume: ' 29'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://papers.nips.cc/paper/6153-estimating-nonlinear-neural-response-functions-using-gp-priors-and-kronecker-methods
month: '12'
oa: 1
oa_version: None
page: 3610-3618
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication_status: published
publisher: Neural Information Processing Systems Foundation
publist_id: '6265'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Estimating nonlinear neural response functions using GP priors and Kronecker
methods
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 29
year: '2016'
...