Nonoptimal gene expression creates latent potential for antibiotic resistance
A. Palmer, R.P. Chait, R. Kishony, Molecular Biology and Evolution 35 (2018) 2669–2684.
LibreCat: https://research-explorer.ista.ac.at/record/19
DOI: 10.1093/molbev/msy163
WoS: 000452567200006
PMID: 30169679

Nonlinear decoding of a complex movie from the mammalian retina
V. Botella Soler, S. Deny, G.S. Martius, O. Marre, G. Tkadik, PLoS Computational Biology 14 (2018).
LibreCat: https://research-explorer.ista.ac.at/record/292
DOI: 10.1371/journal.pcbi.1006057
WoS: 000434012100002

Nonlinear decoding of a complex movie from the mammalian retina
S. Deny, O. Marre, V. Botella-Soler, G.S. Martius, G. Tkadik, (2018).
LibreCat: https://research-explorer.ista.ac.at/record/5584
DOI: 10.15479/AT:ISTA:98

Statistical mechanics for metabolic networks during steady state growth
D. De Martino, A.A. Mc, T. Bergmiller, C.C. Guet, G. Tkadik, Nature Communications 9 (2018).
LibreCat: https://research-explorer.ista.ac.at/record/161
DOI: 10.1038/s41467-018-05417-9
WoS: 000440149300021

Supporting materials "STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH"
D. De Martino, G. Tkadik, (2018).
LibreCat: https://research-explorer.ista.ac.at/record/5587
DOI: 10.15479/AT:ISTA:62

Evolutionary potential of transcription factors for gene regulatory rewiring
C. Igler, M. Lagator, G. Tkadik, J.P. Bollback, C.C. Guet, Nature Ecology and Evolution 2 (2018) 1633–1643.
LibreCat: https://research-explorer.ista.ac.at/record/67
DOI: 10.1038/s41559-018-0651-y
WoS: 000447947600021

Data for the paper Evolutionary potential of transcription factors for gene regulatory rewiring
C. Igler, M. Lagator, G. Tkadik, J.P. Bollback, C.C. Guet, (2018).
LibreCat: https://research-explorer.ista.ac.at/record/5585
DOI: 10.15479/AT:ISTA:108

Shaping bacterial population behavior through computer interfaced control of individual cells
R.P. Chait, J. Ruess, T. Bergmiller, G. Tkadik, C.C. Guet, Nature Communications 8 (2017).
LibreCat: https://research-explorer.ista.ac.at/record/613
DOI: 10.1038/s41467-017-01683-1

Dynamical self consistency leads to behavioral development and emergent social interactions in robots
R. Der, G.S. Martius, in:, IEEE, 2017.
LibreCat: https://research-explorer.ista.ac.at/record/652
DOI: 10.1109/DEVLRN.2016.7846789

Self organized behavior generation for musculoskeletal robots
R. Der, G.S. Martius, Frontiers in Neurorobotics 11 (2017).
LibreCat: https://research-explorer.ista.ac.at/record/658
DOI: 10.3389/fnbot.2017.00008

Probabilistic models for neural populations that naturally capture global coupling and criticality
J. Humplik, G. Tkadik, PLoS Computational Biology 13 (2017).
LibreCat: https://research-explorer.ista.ac.at/record/720
DOI: 10.1371/journal.pcbi.1005763

Discrete modes of social information processing predict individual behavior of fish in a group
R. Harpaz, G. Tkadik, E. Schneidman, PNAS 114 (2017) 10149–10154.
LibreCat: https://research-explorer.ista.ac.at/record/725
DOI: 10.1073/pnas.1703817114
PMID: 28874581

Data from: Error-robust modes of the retinal population code
J. Prentice, O. Marre, M. Ioffe, A. Loback, G. Tkadik, M. Berry, (2017).
LibreCat: https://research-explorer.ista.ac.at/record/9709
DOI: 10.5061/dryad.1f1rc

Sensory noise predicts divisive reshaping of receptive fields
M.J. Chalk, P. Masset, B. Gutkin, S. Denève, PLoS Computational Biology 13 (2017).
LibreCat: https://research-explorer.ista.ac.at/record/680
DOI: 10.1371/journal.pcbi.1005582

Supplementary appendix
M.J. Chalk, P. Masset, B. Gutkin, S. Denève, (2017).
LibreCat: https://research-explorer.ista.ac.at/record/9855
DOI: 10.1371/journal.pcbi.1005582.s001

Noisy response to antibiotic stress predicts subsequent single cell survival in an acidic environment
K. Mitosch, G. Rieckh, M.T. Bollenbach, Cell Systems 4 (2017) 393–403.
LibreCat: https://research-explorer.ista.ac.at/record/666
DOI: 10.1016/j.cels.2017.03.001

Exact goodness-of-fit testing for the Ising model
A. Martin Del Campo Sanchez, S.A. Cepeda Humerez, C. Uhler, Scandinavian Journal of Statistics 44 (2017) 285–306.
LibreCat: https://research-explorer.ista.ac.at/record/2016
DOI: 10.1111/sjos.12251
WoS: 000400985000001
arXiv: 1410.1242

Multiplexed computations in retinal ganglion cells of a single type
S. Deny, U. Ferrari, E. Mace, P. Yger, R. Caplette, S. Picaud, G. Tkadik, O. Marre, Nature Communications 8 (2017).
LibreCat: https://research-explorer.ista.ac.at/record/1104
DOI: 10.1038/s41467-017-02159-y
WoS: 000417241200004

Subsampling scaling
A. Levina (Martius), V. Priesemann, Nature Communications 8 (2017).
LibreCat: https://research-explorer.ista.ac.at/record/993
DOI: 10.1038/ncomms15140
WoS: 000400560700001

Evolution of new regulatory functions on biophysically realistic fitness landscapes
T. Friedlander, R. Prizak, N.H. Barton, G. Tkadik, Nature Communications 8 (2017).
LibreCat: https://research-explorer.ista.ac.at/record/955
DOI: 10.1038/s41467-017-00238-8
WoS: 000407198800005

Scales and multimodal flux distributions in stationary metabolic network models via thermodynamics
D. De Martino,  Physical Review E Statistical Nonlinear and Soft Matter Physics  95 (2017) 062419.
LibreCat: https://research-explorer.ista.ac.at/record/959
DOI: 10.1103/PhysRevE.95.062419
WoS: 000404546400004

Quantifying the entropic cost of cellular growth control
D. De Martino, F. Capuani, A. De Martino,  Physical Review E Statistical Nonlinear and Soft Matter Physics  96 (2017).
LibreCat: https://research-explorer.ista.ac.at/record/947
DOI: 10.1103/PhysRevE.96.010401
WoS: 000405194200002

Decoding of position in the developing neural tube from antiparallel morphogen gradients
M.P. Zagórski, Y. Tabata, N. Brandenberg, M. Lutolf, G. Tkadik, T. Bollenbach, J. Briscoe, A. Kicheva, Science 356 (2017) 1379–1383.
LibreCat: https://research-explorer.ista.ac.at/record/943
DOI: 10.1126/science.aam5887
WoS: 000404351500036
PMID: 28663499

Phase transitions in integer linear problems
S. Colabrese, D. De Martino, L. Leuzzi, E. Marinari,  Journal of Statistical Mechanics: Theory and Experiment 2017 (2017).
LibreCat: https://research-explorer.ista.ac.at/record/823
DOI: 10.1088/1742-5468/aa85c3
WoS: 000411842900001

Maximum entropy models as a tool for building precise neural controls
C. Savin, G. Tkadik, Current Opinion in Neurobiology 46 (2017) 120–126.
LibreCat: https://research-explorer.ista.ac.at/record/730
DOI: 10.1016/j.conb.2017.08.001
WoS: 000416196400016

Maximum entropy modeling of metabolic networks by constraining growth-rate moments predicts coexistence of phenotypes
D. De Martino, Physical Review E 96 (2017).
LibreCat: https://research-explorer.ista.ac.at/record/548
DOI: 10.1103/PhysRevE.96.060401

Zeros of nonlinear systems with input invariances
M. Lang, E. Sontag, Automatica 81C (2017) 46–55.
LibreCat: https://research-explorer.ista.ac.at/record/1007
DOI: 10.1016/j.automatica.2017.03.030
WoS: 000403513900006

Multi-electrode array recording from salamander retinal ganglion cells
O. Marre, G. Tkadik, D. Amodei, E. Schneidman, W. Bialek, M. Berry, (2017).
LibreCat: https://research-explorer.ista.ac.at/record/5562
DOI: 10.15479/AT:ISTA:61

Biased partitioning of the multi-drug efflux pump AcrAB-TolC underlies long-lived phenotypic heterogeneity
T. Bergmiller, A.M. Andersson, K. Tomasek, E. Balleza, D. Kiviet, R. Hauschild, G. Tkadik, C.C. Guet, (2017).
LibreCat: https://research-explorer.ista.ac.at/record/5560
DOI: 10.15479/AT:ISTA:53

Biased partitioning of the multidrug efflux pump AcrAB TolC underlies long lived phenotypic heterogeneity
T. Bergmiller, A.M. Andersson, K. Tomasek, E. Balleza, D. Kiviet, R. Hauschild, G. Tkadik, C.C. Guet, Science 356 (2017) 311–315.
LibreCat: https://research-explorer.ista.ac.at/record/665
DOI: 10.1126/science.aaf4762

An effective feedback loop between cell-cell contact duration and morphogen signaling determines cell fate
V. Barone, M. Lang, G. Krens, S. Pradhan, S. Shamipour, K. Sako, M.K. Sikora, C.C. Guet, C.-P.J. Heisenberg, Developmental Cell 43 (2017) 198–211.
LibreCat: https://research-explorer.ista.ac.at/record/735
DOI: 10.1016/j.devcel.2017.09.014
WoS: 000413443700011

Relevant sparse codes with variational information bottleneck
M.J. Chalk, O. Marre, G. Tkadik, in:, Neural Information Processing Systems, 2016, pp. 1965–1973.
LibreCat: https://research-explorer.ista.ac.at/record/1082

Estimating nonlinear neural response functions using GP priors and Kronecker methods
C. Savin, G. Tkadik, in:, Neural Information Processing Systems, 2016, pp. 3610–3618.
LibreCat: https://research-explorer.ista.ac.at/record/1105

Modular parameter identification of biomolecular networks
M. Lang, J. Stelling, SIAM Journal on Scientific Computing 38 (2016) 8–08.
LibreCat: https://research-explorer.ista.ac.at/record/1170
DOI: 10.1137/15M103306X

Understanding regulatory networks requires more than computing a multitude of graph statistics: Comment on &quot;Drivers of structural features in gene regulatory networks: From biophysical constraints to biological function&quot; by O. C. Martin et al.
G. Tkadik, Physics of Life Reviews 17 (2016) 166–167.
LibreCat: https://research-explorer.ista.ac.at/record/1171
DOI: 10.1016/j.plrev.2016.06.005

Asymptotic analysis of noisy fitness maximization, applied to metabolism &amp; growth
D. De Martino, D. Masoero,  Journal of Statistical Mechanics: Theory and Experiment 2016 (2016).
LibreCat: https://research-explorer.ista.ac.at/record/1188
DOI: 10.1088/1742-5468/aa4e8f

Comparative genomic analysis of Haemophilus haemolyticus and nontypeable Haemophilus influenzae and a new testing scheme for their discrimination
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.
LibreCat: https://research-explorer.ista.ac.at/record/1203
DOI: 10.1128/JCM.01511-16

Compliant control for soft robots: Emergent behavior of a tendon driven anthropomorphic arm
G.S. Martius, R. Hostettler, A. Knoll, R. Der, in:, IEEE, 2016.
LibreCat: https://research-explorer.ista.ac.at/record/1214
DOI: 10.1109/IROS.2016.7759138

Fuselage boundary layer ingestion propulsion applied to a thin haul commuter aircraft for optimal efficiency
G. Miki, A. Stoll, J. Bevirt, R. Grah, M. Moore, in:, AIAA, 2016, pp. 1–19.
LibreCat: https://research-explorer.ista.ac.at/record/1220
DOI: 10.2514/6.2016-3764

Extending the dynamic range of transcription factor action by translational regulation
T.R. Sokolowski, A. Walczak, W. Bialek, G. Tkadik, Physical Review E Statistical Nonlinear and Soft Matter Physics 93 (2016).
LibreCat: https://research-explorer.ista.ac.at/record/1242
DOI: 10.1103/PhysRevE.93.022404

Chimera proteins with affinity for membranes and microtubule tips polarize in the membrane of fission yeast cells
P. Recouvreux, T.R. Sokolowski, A. Grammoustianou, P. Tenwolde, M. Dogterom, PNAS 113 (2016) 1811–1816.
LibreCat: https://research-explorer.ista.ac.at/record/1244
DOI: 10.1073/pnas.1419248113

Information processing in living systems
G. Tkadik, W. Bialek, Annual Review of Condensed Matter Physics 7 (2016) 89–117.
LibreCat: https://research-explorer.ista.ac.at/record/1248
DOI: 10.1146/annurev-conmatphys-031214-014803

The dual of the space of interactions in neural network models
D. De Martino, International Journal of Modern Physics C 27 (2016).
LibreCat: https://research-explorer.ista.ac.at/record/1260
DOI: 10.1142/S0129183116500674
arXiv: 1505.02963

Neural oscillations as a signature of efficient coding in the presence of synaptic delays
M.J. Chalk, B. Gutkin, S. Denève, ELife 5 (2016).
LibreCat: https://research-explorer.ista.ac.at/record/1266
DOI: 10.7554/eLife.13824

Compounds that select against the tetracycline-resistance efflux pump
L. Stone, M. Baym, T. Lieberman, R.P. Chait, J. Clardy, R. Kishony, Nature Chemical Biology 12 (2016) 902–904.
LibreCat: https://research-explorer.ista.ac.at/record/1290
DOI: 10.1038/nchembio.2176

Scale-invariant systems realize nonlinear differential operators
M. Lang, E. Sontag, in:, IEEE, 2016.
LibreCat: https://research-explorer.ista.ac.at/record/1320
DOI: 10.1109/ACC.2016.7526722

Pervasive selection for and against antibiotic resistance in inhomogeneous multistress environments
R.P. Chait, A. Palmer, I. Yelin, R. Kishony, Nature Communications 7 (2016).
LibreCat: https://research-explorer.ista.ac.at/record/1332
DOI: 10.1038/ncomms10333

Spatiotemporal microbial evolution on antibiotic landscapes
M. Baym, T. Lieberman, E. Kelsic, R.P. Chait, R. Gross, I. Yelin, R. Kishony, Science 353 (2016) 1147–1151.
LibreCat: https://research-explorer.ista.ac.at/record/1342
DOI: 10.1126/science.aag0822

Growth against entropy in bacterial metabolism: the phenotypic trade-off behind empirical growth rate distributions in E. coli
D. De Martino, F. Capuani, A. De Martino, Physical Biology 13 (2016).
LibreCat: https://research-explorer.ista.ac.at/record/1394
DOI: 10.1088/1478-3975/13/3/036005

A general approximation for the dynamics of quantitative traits
K. Bodova, G. Tkadik, N.H. Barton, Genetics 202 (2016) 1523–1548.
LibreCat: https://research-explorer.ista.ac.at/record/1420
DOI: 10.1534/genetics.115.184127
arXiv: 1510.08344

Genome-scale estimate of the metabolic turnover of E. Coli from the energy balance analysis
D. De Martino, Physical Biology 13 (2016).
LibreCat: https://research-explorer.ista.ac.at/record/1485
DOI: 10.1088/1478-3975/13/1/016003

Adaptive moment closure for parameter inference of biochemical reaction networks
C. Schilling, S. Bogomolov, T.A. Henzinger, A. Podelski, J. Ruess, Biosystems 149 (2016) 15–25.
LibreCat: https://research-explorer.ista.ac.at/record/1148
DOI: 10.1016/j.biosystems.2016.07.005

Self-organized control of an tendon driven arm by differential extrinsic plasticity
G.S. Martius, R. Hostettler, A. Knoll, R. Der, in:, Proceedings of the Artificial Life Conference 2016, MIT Press, 2016, pp. 142–143.
LibreCat: https://research-explorer.ista.ac.at/record/8094
DOI: 10.7551/978-0-262-33936-0-ch029

Error-robust modes of the retinal population code
J. Prentice, O. Marre, M. Ioffe, A. Loback, G. Tkadik, M. Berry, PLoS Computational Biology 12 (2016).
LibreCat: https://research-explorer.ista.ac.at/record/1197
DOI: 10.1371/journal.pcbi.1005148

Neurons equipped with intrinsic plasticity learn stimulus intensity statistics
T. Monk, C. Savin, J. Lücke, in:, Neural Information Processing Systems, 2016, pp. 4285–4293.
LibreCat: https://research-explorer.ista.ac.at/record/948

Beyond the French flag model: Exploiting spatial and gene regulatory interactions for positional information
P. Hillenbrand, U. Gerland, G. Tkadik, PLoS One 11 (2016).
LibreCat: https://research-explorer.ista.ac.at/record/1270
DOI: 10.1371/journal.pone.0163628

Computation of positional information in an Ising model
P. Hillenbrand, U. Gerland, G. Tkadik, (2016).
LibreCat: https://research-explorer.ista.ac.at/record/9870
DOI: 10.1371/journal.pone.0163628.s002

Error bound on an estimator of position
P. Hillenbrand, U. Gerland, G. Tkadik, (2016).
LibreCat: https://research-explorer.ista.ac.at/record/9869
DOI: 10.1371/journal.pone.0163628.s001

Computation of positional information in a discrete morphogen field
P. Hillenbrand, U. Gerland, G. Tkadik, (2016).
LibreCat: https://research-explorer.ista.ac.at/record/9871
DOI: 10.1371/journal.pone.0163628.s003

Studying the complexities of transcriptional regulation
G. Rieckh, Studying the Complexities of Transcriptional Regulation, Institute of Science and Technology Austria, 2016.
LibreCat: https://research-explorer.ista.ac.at/record/1128

Intrinsic limits to gene regulation by global crosstalk
T. Friedlander, R. Prizak, C.C. Guet, N.H. Barton, G. Tkadik, Nature Communications 7 (2016).
LibreCat: https://research-explorer.ista.ac.at/record/1358
DOI: 10.1038/ncomms12307

Bayesian inference for stochastic individual-based models of ecological systems: a pest control simulation study
F. Parise, J. Lygeros, J. Ruess, Frontiers in Environmental Science 3 (2015).
LibreCat: https://research-explorer.ista.ac.at/record/10794
DOI: 10.3389/fenvs.2015.00042

Minimal moment equations for stochastic models of biochemical reaction networks with partially finite state space
J. Ruess, Journal of Chemical Physics 143 (2015).
LibreCat: https://research-explorer.ista.ac.at/record/1539
DOI: 10.1063/1.4937937

Iterative experiment design guides the characterization of a light-inducible gene expression circuit
J. Ruess, F. Parise, A. Milias Argeitis, M. Khammash, J. Lygeros, PNAS 112 (2015) 8148–8153.
LibreCat: https://research-explorer.ista.ac.at/record/1538
DOI: 10.1073/pnas.1423947112
PMID: 26085136

Editorial: Emergent neural computation from the interaction of different forms of plasticity
M. Gilson, C. Savin, F. Zenke, Frontiers in Computational Neuroscience 9 (2015).
LibreCat: https://research-explorer.ista.ac.at/record/1564
DOI: 10.3389/fncom.2015.00145

Novel plasticity rule can explain the development of sensorimotor intelligence
R. Der, G.S. Martius, PNAS 112 (2015) 24–32.
LibreCat: https://research-explorer.ista.ac.at/record/1570
DOI: 10.1073/pnas.1508400112
PMID: 26504200

Adaptive moment closure for parameter inference of biochemical reaction networks
S. Bogomolov, T.A. Henzinger, A. Podelski, J. Ruess, C. Schilling, 9308 (2015) 77–89.
LibreCat: https://research-explorer.ista.ac.at/record/1658
DOI: 10.1007/978-3-319-23401-4_8

High accuracy decoding of dynamical motion from a large retinal population
O. Marre, V. Botella Soler, K. Simmons, T. Mora, G. Tkadik, M. Berry, PLoS Computational Biology 11 (2015).
LibreCat: https://research-explorer.ista.ac.at/record/1697
DOI: 10.1371/journal.pcbi.1004304

Thermodynamics and signatures of criticality in a network of neurons
G. Tkadik, T. Mora, O. Marre, D. Amodei, S. Palmer, M. Berry Ii, W. Bialek, PNAS 112 (2015) 11508–11513.
LibreCat: https://research-explorer.ista.ac.at/record/1701
DOI: 10.1073/pnas.1514188112
PMID: 26330611

Moment-based methods for parameter inference and experiment design for stochastic biochemical reaction networks
J. Ruess, J. Lygeros, ACM Transactions on Modeling and Computer Simulation 25 (2015).
LibreCat: https://research-explorer.ista.ac.at/record/1861
DOI: 10.1145/2688906

Positional information, positional error, and readout precision in morphogenesis: A mathematical framework
G. Tkadik, J. Dubuis, M. Petkova, T. Gregor, Genetics 199 (2015) 39–59.
LibreCat: https://research-explorer.ista.ac.at/record/1885
DOI: 10.1534/genetics.114.171850

Optimizing information flow in small genetic networks. IV. Spatial coupling
T.R. Sokolowski, G. Tkadik, Physical Review E Statistical Nonlinear and Soft Matter Physics 91 (2015).
LibreCat: https://research-explorer.ista.ac.at/record/1940
DOI: 10.1103/PhysRevE.91.062710

Supporting information text
T. Friedlander, A.E. Mayo, T. Tlusty, U. Alon, (2015).
LibreCat: https://research-explorer.ista.ac.at/record/9718
DOI: 10.1371/journal.pcbi.1004055.s001

Evolution of bow-tie architectures in biology
T. Friedlander, A. Mayo, T. Tlusty, U. Alon, PLoS Computational Biology 11 (2015).
LibreCat: https://research-explorer.ista.ac.at/record/1827
DOI: 10.1371/journal.pcbi.1004055

Evolutionary simulation code
T. Friedlander, A.E. Mayo, T. Tlusty, U. Alon, (2015).
LibreCat: https://research-explorer.ista.ac.at/record/9773
DOI: 10.1371/journal.pcbi.1004055.s002

Other fitness models for comparison & for interacting TFBSs
M. Tugrul, T. Paixao, N.H. Barton, G. Tkadik, (2015).
LibreCat: https://research-explorer.ista.ac.at/record/9712
DOI: 10.1371/journal.pgen.1005639.s001

Dynamics of transcription factor binding site evolution
M. Tugrul, T. Paixao, N.H. Barton, G. Tkadik, PLoS Genetics 11 (2015).
LibreCat: https://research-explorer.ista.ac.at/record/1666
DOI: 10.1371/journal.pgen.1005639

Stochastic proofreading mechanism alleviates crosstalk in transcriptional regulation
S.A. Cepeda Humerez, G. Rieckh, G. Tkadik, Physical Review Letters 115 (2015).
LibreCat: https://research-explorer.ista.ac.at/record/1576
DOI: 10.1103/PhysRevLett.115.248101

Quantifying emergent behavior of autonomous robots
G.S. Martius, E. Olbrich, Entropy 17 (2015) 7266–7297.
LibreCat: https://research-explorer.ista.ac.at/record/1655
DOI: 10.3390/e17107266

Spatio-temporal representations of uncertainty in spiking neural networks
C. Savin, S. Denève, in:, Neural Information Processing Systems, 2014, pp. 2024–2032.
LibreCat: https://research-explorer.ista.ac.at/record/1708

Variance predicts salience in central sensory processing
A. Hermundstad, J. Briguglio, M. Conte, J. Victor, V. Balasubramanian, G. Tkadik, ELife (2014).
LibreCat: https://research-explorer.ista.ac.at/record/1886
DOI: 10.7554/eLife.03722

Mathematical model of alternative mechanism of telomere length maintenance
R. Kollár, K. Bodova, J. Nosek, d. Tomáska, Physical Review E Statistical Nonlinear and Soft Matter Physics 89 (2014).
LibreCat: https://research-explorer.ista.ac.at/record/1896
DOI: 10.1103/PhysRevE.89.032701

The fitness costs of adaptation via phenotypic plasticity and maternal effects
T. Ezard, R. Prizak, R. Hoyle, Functional Ecology 28 (2014) 693–701.
LibreCat: https://research-explorer.ista.ac.at/record/1909
DOI: 10.1111/1365-2435.12207

Evolutionary dynamics of infectious diseases in finite populations
J. Humplik, A. Hill, M. Nowak, Journal of Theoretical Biology 360 (2014) 149–162.
LibreCat: https://research-explorer.ista.ac.at/record/1928
DOI: 10.1016/j.jtbi.2014.06.039

Emergence of task-dependent representations in working memory circuits
C. Savin, J. Triesch, Frontiers in Computational Neuroscience 8 (2014).
LibreCat: https://research-explorer.ista.ac.at/record/1931
DOI: 10.3389/fncom.2014.00057

Characterizing spiking in noisy type II neurons
K. Bodova, D. Paydarfar, D. Forger,  Journal of Theoretical Biology 365 (2014) 40–54.
LibreCat: https://research-explorer.ista.ac.at/record/2028
DOI: 10.1016/j.jtbi.2014.09.041

Hierarchy and polysynchrony in an adaptive network 
V. Botella Soler, P. Glendinning, Physical Review E Statistical Nonlinear and Soft Matter Physics 89 (2014).
LibreCat: https://research-explorer.ista.ac.at/record/2183
DOI: 10.1103/PhysRevE.89.062809

Noise and information transmission in promoters with multiple internal states
G. Rieckh, G. Tkadik, Biophysical Journal 106 (2014) 1194–1204.
LibreCat: https://research-explorer.ista.ac.at/record/2231
DOI: 10.1016/j.bpj.2014.01.014
PMID: 24606943

Adaptation to changes in higher-order stimulus statistics in the salamander retina
G. Tkadik, A. Ghosh, E. Schneidman, R. Segev, PLoS One 9 (2014).
LibreCat: https://research-explorer.ista.ac.at/record/3263
DOI: 10.1371/journal.pone.0085841

Fitness consequences of maternal and grandmaternal effects
R. Prizak, T. Ezard, R. Hoyle, Ecology and Evolution 4 (2014) 3139–3145.
LibreCat: https://research-explorer.ista.ac.at/record/537
DOI: 10.1002/ece3.1150

Data from: Transformation of stimulus correlations by the retina
K. Simmons, J. Prentice, G. Tkadik, J. Homann, H. Yee, S. Palmer, P. Nelson, V. Balasubramanian, (2014).
LibreCat: https://research-explorer.ista.ac.at/record/9752
DOI: 10.5061/dryad.246qg

Searching for collective behavior in a large network of sensory neurons
G. Tkadik, O. Marre, D. Amodei, E. Schneidman, W. Bialek, M. Berry, PLoS Computational Biology 10 (2014).
LibreCat: https://research-explorer.ista.ac.at/record/2257
DOI: 10.1371/journal.pcbi.1003408

Neuronal oscillations scale up and scale down the brain dynamics 
M. Valderrama, V. Botella Soler, M. Le Van Quyen, in:, M. Meyer, Z. Pesenson (Eds.), Multiscale Analysis and Nonlinear Dynamics: From Genes to the Brain, Wiley-VCH, 2013.
LibreCat: https://research-explorer.ista.ac.at/record/2413
DOI: 10.1002/9783527671632.ch08

Learning quadratic receptive fields from neural responses to natural stimuli
K. Rajan, O. Marre, G. Tkadik, Neural Computation 25 (2013) 1661–1692.
LibreCat: https://research-explorer.ista.ac.at/record/2818
DOI: 10.1162/NECO_a_00463
arXiv: 1209.0121

The simplest maximum entropy model for collective behavior in a neural network
G. Tkadik, O. Marre, T. Mora, D. Amodei, M. Berry, W. Bialek, Journal of Statistical Mechanics Theory and Experiment 2013 (2013).
LibreCat: https://research-explorer.ista.ac.at/record/2850
DOI: 10.1088/1742-5468/2013/03/P03011
arXiv: 1207.6319

A simple method for estimating the entropy of neural activity
M. Berry, G. Tkadik, J. Dubuis, O. Marre, R. Da Silveira, Journal of Statistical Mechanics Theory and Experiment 2013 (2013).
LibreCat: https://research-explorer.ista.ac.at/record/2851
DOI: 10.1088/1742-5468/2013/03/P03015

Stimulus-dependent maximum entropy models of neural population codes
E. Granot Atedgi, G. Tkadik, R. Segev, E. Schneidman, PLoS Computational Biology 9 (2013).
LibreCat: https://research-explorer.ista.ac.at/record/2863
DOI: 10.1371/journal.pcbi.1002922

Lyapunov exponent and topological entropy plateaus in piecewise linear maps
V. Botella Soler, J. Oteo, J. Ros, P. Glendinning, Journal of Physics A: Mathematical and Theoretical 46 (2013).
LibreCat: https://research-explorer.ista.ac.at/record/2861
DOI: 10.1088/1751-8113/46/12/125101

Retinal metric: a stimulus distance measure derived from population neural responses
G. Tkadik, E. Granot Atedgi, R. Segev, E. Schneidman, Physical Review Letters 110 (2013).
LibreCat: https://research-explorer.ista.ac.at/record/2913
DOI: 10.1103/PhysRevLett.110.058104

Positional information, in bits
J. Dubuis, G. Tkadik, E. Wieschaus, T. Gregor, W. Bialek, PNAS 110 (2013) 16301–16308.
LibreCat: https://research-explorer.ista.ac.at/record/3261
DOI: 10.1073/pnas.1315642110
PMID: 24089448