---
_id: '1350'
abstract:
- lang: eng
text: "The hippocampal CA3 region plays a key role in learning and memory. Recurrent
CA3–CA3\r\nsynapses are thought to be the subcellular substrate of pattern completion.
However, the\r\nsynaptic mechanisms of this network computation remain enigmatic.
To investigate these mechanisms, we combined functional connectivity analysis
with network modeling.\r\nSimultaneous recording fromup to eight CA3 pyramidal
neurons revealed that connectivity was sparse, spatially uniform, and highly enriched
in disynaptic motifs (reciprocal, convergence,divergence, and chain motifs). Unitary
connections were composed of one or two synaptic contacts, suggesting efficient
use of postsynaptic space. Real-size modeling indicated that CA3 networks with
sparse connectivity, disynaptic motifs, and single-contact connections robustly
generated pattern completion.Thus, macro- and microconnectivity contribute to
efficient\r\nmemory storage and retrieval in hippocampal networks."
acknowledged_ssus:
- _id: ScienComp
article_processing_charge: No
author:
- first_name: José
full_name: Guzmán, José
id: 30CC5506-F248-11E8-B48F-1D18A9856A87
last_name: Guzmán
orcid: 0000-0003-2209-5242
- first_name: Alois
full_name: Schlögl, Alois
id: 45BF87EE-F248-11E8-B48F-1D18A9856A87
last_name: Schlögl
orcid: 0000-0002-5621-8100
- first_name: Michael
full_name: Frotscher, Michael
last_name: Frotscher
- first_name: Peter M
full_name: Jonas, Peter M
id: 353C1B58-F248-11E8-B48F-1D18A9856A87
last_name: Jonas
orcid: 0000-0001-5001-4804
citation:
ama: Guzmán J, Schlögl A, Frotscher M, Jonas PM. Synaptic mechanisms of pattern
completion in the hippocampal CA3 network. Science. 2016;353(6304):1117-1123.
doi:10.1126/science.aaf1836
apa: Guzmán, J., Schlögl, A., Frotscher, M., & Jonas, P. M. (2016). Synaptic
mechanisms of pattern completion in the hippocampal CA3 network. Science.
American Association for the Advancement of Science. https://doi.org/10.1126/science.aaf1836
chicago: Guzmán, José, Alois Schlögl, Michael Frotscher, and Peter M Jonas. “Synaptic
Mechanisms of Pattern Completion in the Hippocampal CA3 Network.” Science.
American Association for the Advancement of Science, 2016. https://doi.org/10.1126/science.aaf1836.
ieee: J. Guzmán, A. Schlögl, M. Frotscher, and P. M. Jonas, “Synaptic mechanisms
of pattern completion in the hippocampal CA3 network,” Science, vol. 353,
no. 6304. American Association for the Advancement of Science, pp. 1117–1123,
2016.
ista: Guzmán J, Schlögl A, Frotscher M, Jonas PM. 2016. Synaptic mechanisms of pattern
completion in the hippocampal CA3 network. Science. 353(6304), 1117–1123.
mla: Guzmán, José, et al. “Synaptic Mechanisms of Pattern Completion in the Hippocampal
CA3 Network.” Science, vol. 353, no. 6304, American Association for the
Advancement of Science, 2016, pp. 1117–23, doi:10.1126/science.aaf1836.
short: J. Guzmán, A. Schlögl, M. Frotscher, P.M. Jonas, Science 353 (2016) 1117–1123.
corr_author: '1'
date_created: 2018-12-11T11:51:31Z
date_published: 2016-09-09T00:00:00Z
date_updated: 2025-09-22T08:12:10Z
day: '09'
ddc:
- '570'
department:
- _id: ScienComp
- _id: PeJo
doi: 10.1126/science.aaf1836
ec_funded: 1
external_id:
isi:
- '000382626800045'
file:
- access_level: open_access
checksum: 89caefa4e181424cbf0aecc835fcc5ec
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:12:27Z
date_updated: 2020-07-14T12:44:46Z
file_id: '4945'
file_name: IST-2017-823-v1+1_aaf1836_CombinedPDF_v2-1.pdf
file_size: 19408143
relation: main_file
file_date_updated: 2020-07-14T12:44:46Z
has_accepted_license: '1'
intvolume: ' 353'
isi: 1
issue: '6304'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Preprint
page: 1117 - 1123
project:
- _id: 25C0F108-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '268548'
name: Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons
- _id: 25C26B1E-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P24909-B24
name: Mechanisms of transmitter release at GABAergic synapses
publication: Science
publication_status: published
publisher: American Association for the Advancement of Science
publist_id: '5899'
pubrep_id: '823'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Synaptic mechanisms of pattern completion in the hippocampal CA3 network
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 353
year: '2016'
...
---
_id: '2230'
abstract:
- lang: eng
text: Intracellular electrophysiological recordings provide crucial insights into
elementary neuronal signals such as action potentials and synaptic currents. Analyzing
and interpreting these signals is essential for a quantitative understanding of
neuronal information processing, and requires both fast data visualization and
ready access to complex analysis routines. To achieve this goal, we have developed
Stimfit, a free software package for cellular neurophysiology with a Python scripting
interface and a built-in Python shell. The program supports most standard file
formats for cellular neurophysiology and other biomedical signals through the
Biosig library. To quantify and interpret the activity of single neurons and communication
between neurons, the program includes algorithms to characterize the kinetics
of presynaptic action potentials and postsynaptic currents, estimate latencies
between pre- and postsynaptic events, and detect spontaneously occurring events.
We validate and benchmark these algorithms, give estimation errors, and provide
sample use cases, showing that Stimfit represents an efficient, accessible and
extensible way to accurately analyze and interpret neuronal signals.
article_number: '16'
article_processing_charge: No
author:
- first_name: José
full_name: Guzmán, José
id: 30CC5506-F248-11E8-B48F-1D18A9856A87
last_name: Guzmán
orcid: 0000-0003-2209-5242
- first_name: Alois
full_name: Schlögl, Alois
id: 45BF87EE-F248-11E8-B48F-1D18A9856A87
last_name: Schlögl
orcid: 0000-0002-5621-8100
- first_name: Christoph
full_name: Schmidt Hieber, Christoph
last_name: Schmidt Hieber
citation:
ama: 'Guzmán J, Schlögl A, Schmidt Hieber C. Stimfit: Quantifying electrophysiological
data with Python. Frontiers in Neuroinformatics. 2014;8(FEB). doi:10.3389/fninf.2014.00016'
apa: 'Guzmán, J., Schlögl, A., & Schmidt Hieber, C. (2014). Stimfit: Quantifying
electrophysiological data with Python. Frontiers in Neuroinformatics. Frontiers
Research Foundation. https://doi.org/10.3389/fninf.2014.00016'
chicago: 'Guzmán, José, Alois Schlögl, and Christoph Schmidt Hieber. “Stimfit: Quantifying
Electrophysiological Data with Python.” Frontiers in Neuroinformatics.
Frontiers Research Foundation, 2014. https://doi.org/10.3389/fninf.2014.00016.'
ieee: 'J. Guzmán, A. Schlögl, and C. Schmidt Hieber, “Stimfit: Quantifying electrophysiological
data with Python,” Frontiers in Neuroinformatics, vol. 8, no. FEB. Frontiers
Research Foundation, 2014.'
ista: 'Guzmán J, Schlögl A, Schmidt Hieber C. 2014. Stimfit: Quantifying electrophysiological
data with Python. Frontiers in Neuroinformatics. 8(FEB), 16.'
mla: 'Guzmán, José, et al. “Stimfit: Quantifying Electrophysiological Data with
Python.” Frontiers in Neuroinformatics, vol. 8, no. FEB, 16, Frontiers
Research Foundation, 2014, doi:10.3389/fninf.2014.00016.'
short: J. Guzmán, A. Schlögl, C. Schmidt Hieber, Frontiers in Neuroinformatics 8
(2014).
date_created: 2018-12-11T11:56:27Z
date_published: 2014-02-21T00:00:00Z
date_updated: 2025-09-29T11:24:02Z
day: '21'
ddc:
- '570'
department:
- _id: ScienComp
- _id: PeJo
doi: 10.3389/fninf.2014.00016
external_id:
isi:
- '000348105900001'
file:
- access_level: open_access
checksum: eeca00bba7232ff7d27db83321f6ea30
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:12:17Z
date_updated: 2020-07-14T12:45:34Z
file_id: '4935'
file_name: IST-2016-425-v1+1_fninf-08-00016.pdf
file_size: 2883372
relation: main_file
file_date_updated: 2020-07-14T12:45:34Z
has_accepted_license: '1'
intvolume: ' 8'
isi: 1
issue: FEB
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
publication: Frontiers in Neuroinformatics
publication_identifier:
issn:
- 1662-5196
publication_status: published
publisher: Frontiers Research Foundation
publist_id: '4731'
pubrep_id: '425'
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Stimfit: Quantifying electrophysiological data with Python'
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: 8
year: '2014'
...
---
_id: '1890'
abstract:
- lang: eng
text: To search for a target in a complex environment is an everyday behavior that
ends with finding the target. When we search for two identical targets, however,
we must continue the search after finding the first target and memorize its location.
We used fixation-related potentials to investigate the neural correlates of different
stages of the search, that is, before and after finding the first target. Having
found the first target influenced subsequent distractor processing. Compared to
distractor fixations before the first target fixation, a negative shift was observed
for three subsequent distractor fixations. These results suggest that processing
a target in continued search modulates the brain's response, either transiently
by reflecting temporary working memory processes or permanently by reflecting
working memory retention.
acknowledgement: 'Funded by Austrian Science Fund (FWF) Grant Number: P 22189-B18;
European Union within the 6th Framework Programme Grant Number: 517590; State government
of Styria Grant Number: PN 4055'
article_processing_charge: No
author:
- first_name: Christof
full_name: Körner, Christof
last_name: Körner
- first_name: Verena
full_name: Braunstein, Verena
last_name: Braunstein
- first_name: Matthias
full_name: Stangl, Matthias
last_name: Stangl
- first_name: Alois
full_name: Schlögl, Alois
id: 45BF87EE-F248-11E8-B48F-1D18A9856A87
last_name: Schlögl
orcid: 0000-0002-5621-8100
- first_name: Christa
full_name: Neuper, Christa
last_name: Neuper
- first_name: Anja
full_name: Ischebeck, Anja
last_name: Ischebeck
citation:
ama: 'Körner C, Braunstein V, Stangl M, Schlögl A, Neuper C, Ischebeck A. Sequential
effects in continued visual search: Using fixation-related potentials to compare
distractor processing before and after target detection. Psychophysiology.
2014;51(4):385-395. doi:10.1111/psyp.12062'
apa: 'Körner, C., Braunstein, V., Stangl, M., Schlögl, A., Neuper, C., & Ischebeck,
A. (2014). Sequential effects in continued visual search: Using fixation-related
potentials to compare distractor processing before and after target detection.
Psychophysiology. Wiley-Blackwell. https://doi.org/10.1111/psyp.12062'
chicago: 'Körner, Christof, Verena Braunstein, Matthias Stangl, Alois Schlögl, Christa
Neuper, and Anja Ischebeck. “Sequential Effects in Continued Visual Search: Using
Fixation-Related Potentials to Compare Distractor Processing before and after
Target Detection.” Psychophysiology. Wiley-Blackwell, 2014. https://doi.org/10.1111/psyp.12062.'
ieee: 'C. Körner, V. Braunstein, M. Stangl, A. Schlögl, C. Neuper, and A. Ischebeck,
“Sequential effects in continued visual search: Using fixation-related potentials
to compare distractor processing before and after target detection,” Psychophysiology,
vol. 51, no. 4. Wiley-Blackwell, pp. 385–395, 2014.'
ista: 'Körner C, Braunstein V, Stangl M, Schlögl A, Neuper C, Ischebeck A. 2014.
Sequential effects in continued visual search: Using fixation-related potentials
to compare distractor processing before and after target detection. Psychophysiology.
51(4), 385–395.'
mla: 'Körner, Christof, et al. “Sequential Effects in Continued Visual Search: Using
Fixation-Related Potentials to Compare Distractor Processing before and after
Target Detection.” Psychophysiology, vol. 51, no. 4, Wiley-Blackwell, 2014,
pp. 385–95, doi:10.1111/psyp.12062.'
short: C. Körner, V. Braunstein, M. Stangl, A. Schlögl, C. Neuper, A. Ischebeck,
Psychophysiology 51 (2014) 385–395.
date_created: 2018-12-11T11:54:34Z
date_published: 2014-02-11T00:00:00Z
date_updated: 2025-09-29T13:07:21Z
day: '11'
ddc:
- '000'
department:
- _id: ScienComp
- _id: PeJo
doi: 10.1111/psyp.12062
external_id:
isi:
- '000332585900010'
file:
- access_level: open_access
checksum: 4255b6185e774acce1d99f8e195c564d
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:16:44Z
date_updated: 2020-07-14T12:45:20Z
file_id: '5233'
file_name: IST-2016-442-v1+1_K-rner_et_al-2014-Psychophysiology.pdf
file_size: 543243
relation: main_file
file_date_updated: 2020-07-14T12:45:20Z
has_accepted_license: '1'
intvolume: ' 51'
isi: 1
issue: '4'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: 385 - 395
publication: Psychophysiology
publication_status: published
publisher: Wiley-Blackwell
publist_id: '5205'
pubrep_id: '442'
scopus_import: '1'
status: public
title: 'Sequential effects in continued visual search: Using fixation-related potentials
to compare distractor processing before and after target detection'
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: 51
year: '2014'
...
---
_id: '2954'
abstract:
- lang: eng
text: Spontaneous postsynaptic currents (PSCs) provide key information about the
mechanisms of synaptic transmission and the activity modes of neuronal networks.
However, detecting spontaneous PSCs in vitro and in vivo has been challenging,
because of the small amplitude, the variable kinetics, and the undefined time
of generation of these events. Here, we describe a, to our knowledge, new method
for detecting spontaneous synaptic events by deconvolution, using a template that
approximates the average time course of spontaneous PSCs. A recorded PSC trace
is deconvolved from the template, resulting in a series of delta-like functions.
The maxima of these delta-like events are reliably detected, revealing the precise
onset times of the spontaneous PSCs. Among all detection methods, the deconvolution-based
method has a unique temporal resolution, allowing the detection of individual
events in high-frequency bursts. Furthermore, the deconvolution-based method has
a high amplitude resolution, because deconvolution can substantially increase
the signal/noise ratio. When tested against previously published methods using
experimental data, the deconvolution-based method was superior for spontaneous
PSCs recorded in vivo. Using the high-resolution deconvolution-based detection
algorithm, we show that the frequency of spontaneous excitatory postsynaptic currents
in dentate gyrus granule cells is 4.5 times higher in vivo than in vitro.
acknowledgement: "This work was supported by the Deutsche Forschungsgemeinschaft (TR3/B10)
and a European Research Council Advanced grant to P.J.\r\nWe thank H. Hu, S. J.
Guzman, and C. Schmidt-Hieber for critically reading the manuscript, I. Koeva and
F. Marr for technical support, and E. Kramberger for editorial assistance.\r\n"
article_processing_charge: No
author:
- first_name: Alejandro
full_name: Pernia-Andrade, Alejandro
id: 36963E98-F248-11E8-B48F-1D18A9856A87
last_name: Pernia-Andrade
- first_name: Sarit
full_name: Goswami, Sarit
id: 3A578F32-F248-11E8-B48F-1D18A9856A87
last_name: Goswami
- first_name: Yvonne
full_name: Stickler, Yvonne
id: 63B76600-E9CC-11E9-9B5F-82450873F7A1
last_name: Stickler
- first_name: Ulrich
full_name: Fröbe, Ulrich
last_name: Fröbe
- first_name: Alois
full_name: Schlögl, Alois
id: 45BF87EE-F248-11E8-B48F-1D18A9856A87
last_name: Schlögl
orcid: 0000-0002-5621-8100
- first_name: Peter M
full_name: Jonas, Peter M
id: 353C1B58-F248-11E8-B48F-1D18A9856A87
last_name: Jonas
orcid: 0000-0001-5001-4804
citation:
ama: Pernia-Andrade A, Goswami S, Stickler Y, Fröbe U, Schlögl A, Jonas PM. A deconvolution
based method with high sensitivity and temporal resolution for detection of spontaneous
synaptic currents in vitro and in vivo. Biophysical Journal. 2012;103(7):1429-1439.
doi:10.1016/j.bpj.2012.08.039
apa: Pernia-Andrade, A., Goswami, S., Stickler, Y., Fröbe, U., Schlögl, A., &
Jonas, P. M. (2012). A deconvolution based method with high sensitivity and temporal
resolution for detection of spontaneous synaptic currents in vitro and in vivo.
Biophysical Journal. Biophysical. https://doi.org/10.1016/j.bpj.2012.08.039
chicago: Pernia-Andrade, Alejandro, Sarit Goswami, Yvonne Stickler, Ulrich Fröbe,
Alois Schlögl, and Peter M Jonas. “A Deconvolution Based Method with High Sensitivity
and Temporal Resolution for Detection of Spontaneous Synaptic Currents in Vitro
and in Vivo.” Biophysical Journal. Biophysical, 2012. https://doi.org/10.1016/j.bpj.2012.08.039.
ieee: A. Pernia-Andrade, S. Goswami, Y. Stickler, U. Fröbe, A. Schlögl, and P. M.
Jonas, “A deconvolution based method with high sensitivity and temporal resolution
for detection of spontaneous synaptic currents in vitro and in vivo,” Biophysical
Journal, vol. 103, no. 7. Biophysical, pp. 1429–1439, 2012.
ista: Pernia-Andrade A, Goswami S, Stickler Y, Fröbe U, Schlögl A, Jonas PM. 2012.
A deconvolution based method with high sensitivity and temporal resolution for
detection of spontaneous synaptic currents in vitro and in vivo. Biophysical Journal.
103(7), 1429–1439.
mla: Pernia-Andrade, Alejandro, et al. “A Deconvolution Based Method with High Sensitivity
and Temporal Resolution for Detection of Spontaneous Synaptic Currents in Vitro
and in Vivo.” Biophysical Journal, vol. 103, no. 7, Biophysical, 2012,
pp. 1429–39, doi:10.1016/j.bpj.2012.08.039.
short: A. Pernia-Andrade, S. Goswami, Y. Stickler, U. Fröbe, A. Schlögl, P.M. Jonas,
Biophysical Journal 103 (2012) 1429–1439.
corr_author: '1'
date_created: 2018-12-11T12:00:32Z
date_published: 2012-10-03T00:00:00Z
date_updated: 2025-09-30T08:09:38Z
day: '03'
department:
- _id: PeJo
- _id: ScienComp
doi: 10.1016/j.bpj.2012.08.039
external_id:
isi:
- '000309571400005'
pmid:
- '23062335'
intvolume: ' 103'
isi: 1
issue: '7'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3471482/
month: '10'
oa: 1
oa_version: Submitted Version
page: 1429 - 1439
pmid: 1
project:
- _id: 25BDE9A4-B435-11E9-9278-68D0E5697425
grant_number: SFB-TR3-TP10B
name: "Glutamaterge synaptische Ã\x9Cbertragung und Plastizität in hippocampalen
Mikroschaltkreisen"
publication: Biophysical Journal
publication_status: published
publisher: Biophysical
publist_id: '3774'
quality_controlled: '1'
scopus_import: '1'
status: public
title: A deconvolution based method with high sensitivity and temporal resolution
for detection of spontaneous synaptic currents in vitro and in vivo
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 103
year: '2012'
...
---
_id: '493'
abstract:
- lang: eng
text: 'The BCI competition IV stands in the tradition of prior BCI competitions
that aim to provide high quality neuroscientific data for open access to the scientific
community. As experienced already in prior competitions not only scientists from
the narrow field of BCI compete, but scholars with a broad variety of backgrounds
and nationalities. They include high specialists as well as students.The goals
of all BCI competitions have always been to challenge with respect to novel paradigms
and complex data. We report on the following challenges: (1) asynchronous data,
(2) synthetic, (3) multi-class continuous data, (4) sessionto-session transfer,
(5) directionally modulated MEG, (6) finger movements recorded by ECoG. As after
past competitions, our hope is that winning entries may enhance the analysis methods
of future BCIs.'
acknowledgement: "The studies were in part or completely supported by the Bundesministerium
für Bildung und Forschung (BMBF), Fkz 01IB001A, 01GQ0850, by the German Science
Foundation (DFG, contract MU 987/3-2), by the European ICT Programme Projects FP7-224631
and 216886, the World Class University Program through the National Research Foundation
of Korea funded by the Ministry of Education, Science, and Technology (Grant R31-10008),
the US Army Research Office [W911NF-08-1-0216 (Gerwin Schalk) and W911NF-07-1-0415
(Gerwin Schalk)] and the NIH [EB006356 (Gerwin Schalk) and EB000856 (Gerwin Schalk),
the WIN-Kolleg of the Heidelberg Academy of Sciences and Humanities, German Federal
Ministry of Education and Research grants 01GQ0420, 01GQ0761, 01GQ0762, and 01GQ0830,
German Research Foundation grants 550/B5 and C6, and by a scholarship from the German
National Academic Foundation. This paper only reflects the authors’ views and funding
agencies are not liable for any use that may be made of the information contained
herein.\r\n"
article_number: '55'
article_processing_charge: No
author:
- first_name: Michael
full_name: Tangermann, Michael
last_name: Tangermann
- first_name: Klaus
full_name: Müller, Klaus
last_name: Müller
- first_name: Ad
full_name: Aertsen, Ad
last_name: Aertsen
- first_name: Niels
full_name: Birbaumer, Niels
last_name: Birbaumer
- first_name: Christoph
full_name: Braun, Christoph
last_name: Braun
- first_name: Clemens
full_name: Brunner, Clemens
last_name: Brunner
- first_name: Robert
full_name: Leeb, Robert
last_name: Leeb
- first_name: Carsten
full_name: Mehring, Carsten
last_name: Mehring
- first_name: Kai
full_name: Miller, Kai
last_name: Miller
- first_name: Gernot
full_name: Müller Putz, Gernot
last_name: Müller Putz
- first_name: Guido
full_name: Nolte, Guido
last_name: Nolte
- first_name: Gert
full_name: Pfurtscheller, Gert
last_name: Pfurtscheller
- first_name: Hubert
full_name: Preissl, Hubert
last_name: Preissl
- first_name: Gerwin
full_name: Schalk, Gerwin
last_name: Schalk
- first_name: Alois
full_name: Schlögl, Alois
id: 45BF87EE-F248-11E8-B48F-1D18A9856A87
last_name: Schlögl
orcid: 0000-0002-5621-8100
- first_name: Carmen
full_name: Vidaurre, Carmen
last_name: Vidaurre
- first_name: Stephan
full_name: Waldert, Stephan
last_name: Waldert
- first_name: Benjamin
full_name: Blankertz, Benjamin
last_name: Blankertz
citation:
ama: Tangermann M, Müller K, Aertsen A, et al. Review of the BCI competition IV.
Frontiers in Neuroscience. 2012;6. doi:10.3389/fnins.2012.00055
apa: Tangermann, M., Müller, K., Aertsen, A., Birbaumer, N., Braun, C., Brunner,
C., … Blankertz, B. (2012). Review of the BCI competition IV. Frontiers in
Neuroscience. Frontiers Research Foundation. https://doi.org/10.3389/fnins.2012.00055
chicago: Tangermann, Michael, Klaus Müller, Ad Aertsen, Niels Birbaumer, Christoph
Braun, Clemens Brunner, Robert Leeb, et al. “Review of the BCI Competition IV.”
Frontiers in Neuroscience. Frontiers Research Foundation, 2012. https://doi.org/10.3389/fnins.2012.00055.
ieee: M. Tangermann et al., “Review of the BCI competition IV,” Frontiers
in Neuroscience, vol. 6. Frontiers Research Foundation, 2012.
ista: Tangermann M, Müller K, Aertsen A, Birbaumer N, Braun C, Brunner C, Leeb R,
Mehring C, Miller K, Müller Putz G, Nolte G, Pfurtscheller G, Preissl H, Schalk
G, Schlögl A, Vidaurre C, Waldert S, Blankertz B. 2012. Review of the BCI competition
IV. Frontiers in Neuroscience. 6, 55.
mla: Tangermann, Michael, et al. “Review of the BCI Competition IV.” Frontiers
in Neuroscience, vol. 6, 55, Frontiers Research Foundation, 2012, doi:10.3389/fnins.2012.00055.
short: M. Tangermann, K. Müller, A. Aertsen, N. Birbaumer, C. Braun, C. Brunner,
R. Leeb, C. Mehring, K. Miller, G. Müller Putz, G. Nolte, G. Pfurtscheller, H.
Preissl, G. Schalk, A. Schlögl, C. Vidaurre, S. Waldert, B. Blankertz, Frontiers
in Neuroscience 6 (2012).
date_created: 2018-12-11T11:46:46Z
date_published: 2012-07-13T00:00:00Z
date_updated: 2025-09-30T08:35:59Z
day: '13'
ddc:
- '004'
department:
- _id: ScienComp
- _id: PeJo
doi: 10.3389/fnins.2012.00055
external_id:
isi:
- '000209165300066'
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checksum: 195238221c4b0b0f4035f6f6c16ea17c
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oa_version: Published Version
publication: Frontiers in Neuroscience
publication_status: published
publisher: Frontiers Research Foundation
publist_id: '7327'
pubrep_id: '945'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Review of the BCI competition IV
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: 6
year: '2012'
...
---
_id: '490'
abstract:
- lang: eng
text: 'BioSig is an open source software library for biomedical signal processing.
The aim of the BioSig project is to foster research in biomedical signal processing
by providing free and open source software tools for many different application
areas. Some of the areas where BioSig can be employed are neuroinformatics, brain-computer
interfaces, neurophysiology, psychology, cardiovascular systems, and sleep research.
Moreover, the analysis of biosignals such as the electroencephalogram (EEG), electrocorticogram
(ECoG), electrocardiogram (ECG), electrooculogram (EOG), electromyogram (EMG),
or respiration signals is a very relevant element of the BioSig project. Specifically,
BioSig provides solutions for data acquisition, artifact processing, quality control,
feature extraction, classification, modeling, and data visualization, to name
a few. In this paper, we highlight several methods to help students and researchers
to work more efficiently with biomedical signals. '
article_number: '935364'
article_processing_charge: No
author:
- first_name: Alois
full_name: Schlögl, Alois
id: 45BF87EE-F248-11E8-B48F-1D18A9856A87
last_name: Schlögl
orcid: 0000-0002-5621-8100
- first_name: Carmen
full_name: Vidaurre, Carmen
last_name: Vidaurre
- first_name: Tilmann
full_name: Sander, Tilmann
last_name: Sander
citation:
ama: 'Schlögl A, Vidaurre C, Sander T. BioSig: The free and open source software
library for biomedical signal processing. Computational Intelligence and Neuroscience.
2011;2011. doi:10.1155/2011/935364'
apa: 'Schlögl, A., Vidaurre, C., & Sander, T. (2011). BioSig: The free and open
source software library for biomedical signal processing. Computational Intelligence
and Neuroscience. Hindawi Publishing Corporation. https://doi.org/10.1155/2011/935364'
chicago: 'Schlögl, Alois, Carmen Vidaurre, and Tilmann Sander. “BioSig: The Free
and Open Source Software Library for Biomedical Signal Processing.” Computational
Intelligence and Neuroscience. Hindawi Publishing Corporation, 2011. https://doi.org/10.1155/2011/935364.'
ieee: 'A. Schlögl, C. Vidaurre, and T. Sander, “BioSig: The free and open source
software library for biomedical signal processing,” Computational Intelligence
and Neuroscience, vol. 2011. Hindawi Publishing Corporation, 2011.'
ista: 'Schlögl A, Vidaurre C, Sander T. 2011. BioSig: The free and open source software
library for biomedical signal processing. Computational Intelligence and Neuroscience.
2011, 935364.'
mla: 'Schlögl, Alois, et al. “BioSig: The Free and Open Source Software Library
for Biomedical Signal Processing.” Computational Intelligence and Neuroscience,
vol. 2011, 935364, Hindawi Publishing Corporation, 2011, doi:10.1155/2011/935364.'
short: A. Schlögl, C. Vidaurre, T. Sander, Computational Intelligence and Neuroscience
2011 (2011).
corr_author: '1'
date_created: 2018-12-11T11:46:45Z
date_published: 2011-01-01T00:00:00Z
date_updated: 2025-09-30T09:24:43Z
day: '01'
ddc:
- '005'
department:
- _id: ScienComp
- _id: PeJo
doi: 10.1155/2011/935364
external_id:
isi:
- '000208906100033'
file:
- access_level: open_access
checksum: 8263bbf255171f2054f43f3db5f53b6e
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:07:44Z
date_updated: 2020-07-14T12:46:35Z
file_id: '4642'
file_name: IST-2018-947-v1+1_2011_Schloegl_BioSig.pdf
file_size: 2863551
relation: main_file
file_date_updated: 2020-07-14T12:46:35Z
has_accepted_license: '1'
intvolume: ' 2011'
isi: 1
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
publication: Computational Intelligence and Neuroscience
publication_status: published
publisher: Hindawi Publishing Corporation
publist_id: '7330'
pubrep_id: '947'
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'BioSig: The free and open source software library for biomedical signal processing'
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: 2011
year: '2011'
...
---
_id: '14983'
abstract:
- lang: eng
text: 'This chapter tackles a difficult challenge: presenting signal processing
material to non-experts. This chapter is meant to be comprehensible to people
who have some math background, including a course in linear algebra and basic
statistics, but do not specialize in mathematics, engineering, or related fields.
Some formulas assume the reader is familiar with matrices and basic matrix operations,
but not more advanced material. Furthermore, we tried to make the chapter readable
even if you skip the formulas. Nevertheless, we include some simple methods to
demonstrate the basics of adaptive data processing, then we proceed with some
advanced methods that are fundamental in adaptive signal processing, and are likely
to be useful in a variety of applications. The advanced algorithms are also online
available [30]. In the second part, these techniques are applied to some real-world
BCI data.'
acknowledgement: This work was supported by the EU grants “BrainCom” (FP6-2004-Mobility-5
Grant No 024259) and “Multi-adaptive BCI” (MEIF-CT-2006 Grant No 040666). Furthermore,
we thank Matthias Krauledat for fruitful discussions and tools for generating Fig.
5.
alternative_title:
- The Frontiers Collection
article_processing_charge: No
author:
- first_name: Alois
full_name: Schlögl, Alois
id: 45BF87EE-F248-11E8-B48F-1D18A9856A87
last_name: Schlögl
orcid: 0000-0002-5621-8100
- first_name: Carmen
full_name: Vidaurre, Carmen
last_name: Vidaurre
- first_name: Klaus-Robert
full_name: Müller, Klaus-Robert
last_name: Müller
citation:
ama: 'Schlögl A, Vidaurre C, Müller K-R. Adaptive Methods in BCI Research - An Introductory
Tutorial. In: Graimann B, Pfurtscheller G, Allison B, eds. Brain-Computer Interfaces.
1st ed. FRONTCOLL. Berlin, Heidelberg: Springer; 2010:331-355. doi:10.1007/978-3-642-02091-9_18'
apa: 'Schlögl, A., Vidaurre, C., & Müller, K.-R. (2010). Adaptive Methods in
BCI Research - An Introductory Tutorial. In B. Graimann, G. Pfurtscheller, &
B. Allison (Eds.), Brain-Computer Interfaces (1st ed., pp. 331–355). Berlin,
Heidelberg: Springer. https://doi.org/10.1007/978-3-642-02091-9_18'
chicago: 'Schlögl, Alois, Carmen Vidaurre, and Klaus-Robert Müller. “Adaptive Methods
in BCI Research - An Introductory Tutorial.” In Brain-Computer Interfaces,
edited by Bernhard Graimann, Gert Pfurtscheller, and Brendan Allison, 1st ed.,
331–55. FRONTCOLL. Berlin, Heidelberg: Springer, 2010. https://doi.org/10.1007/978-3-642-02091-9_18.'
ieee: 'A. Schlögl, C. Vidaurre, and K.-R. Müller, “Adaptive Methods in BCI Research
- An Introductory Tutorial,” in Brain-Computer Interfaces, 1st ed., B.
Graimann, G. Pfurtscheller, and B. Allison, Eds. Berlin, Heidelberg: Springer,
2010, pp. 331–355.'
ista: 'Schlögl A, Vidaurre C, Müller K-R. 2010.Adaptive Methods in BCI Research
- An Introductory Tutorial. In: Brain-Computer Interfaces. The Frontiers Collection,
, 331–355.'
mla: Schlögl, Alois, et al. “Adaptive Methods in BCI Research - An Introductory
Tutorial.” Brain-Computer Interfaces, edited by Bernhard Graimann et al.,
1st ed., Springer, 2010, pp. 331–55, doi:10.1007/978-3-642-02091-9_18.
short: A. Schlögl, C. Vidaurre, K.-R. Müller, in:, B. Graimann, G. Pfurtscheller,
B. Allison (Eds.), Brain-Computer Interfaces, 1st ed., Springer, Berlin, Heidelberg,
2010, pp. 331–355.
corr_author: '1'
date_created: 2024-02-14T09:56:00Z
date_published: 2010-09-06T00:00:00Z
date_updated: 2024-10-21T06:03:06Z
day: '06'
department:
- _id: ScienComp
doi: 10.1007/978-3-642-02091-9_18
edition: '1'
editor:
- first_name: Bernhard
full_name: Graimann, Bernhard
last_name: Graimann
- first_name: Gert
full_name: Pfurtscheller, Gert
last_name: Pfurtscheller
- first_name: Brendan
full_name: Allison, Brendan
last_name: Allison
language:
- iso: eng
month: '09'
oa_version: None
page: 331-355
place: Berlin, Heidelberg
publication: Brain-Computer Interfaces
publication_identifier:
eisbn:
- '9783642020919'
isbn:
- '9783642020902'
issn:
- 1612-3018
publication_status: published
publisher: Springer
quality_controlled: '1'
scopus_import: '1'
series_title: FRONTCOLL
status: public
title: Adaptive Methods in BCI Research - An Introductory Tutorial
type: book_chapter
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2010'
...