Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Sonja Gruen"'
Publikováno v:
Frontiers in Computational Neuroscience, Vol 4 (2010)
Detecting the excess of spike synchrony and testing its significance can not be done analytically in many types of spike trains and relies on adequate surrogate methods. The main challenge for these methods is to conserve certain features of the spik
Externí odkaz:
https://doaj.org/article/65972962497b4f6aab30d2c6dd22d573
Publikováno v:
Frontiers in Computational Neuroscience, Vol 4 (2010)
The extent to which groups of neurons exhibit higher-order correlations in their spiking activity is a controversial issue in current brain research. A major difficulty is that currently available tools for the analysis of massively parallel spike tr
Externí odkaz:
https://doaj.org/article/5a26196b1923488f81d50de2ccad90ec
This book brings together a selection of papers by George Gerstein, representing his long-term endeavor of making neuroscience into a more rigorous science inspired by physics, where he had his roots. Professor Gerstein was many years ahead of the
Autor:
Karim Ali, Soroush Malek, David R. Euston, Bruce L. McNaughton, LeAnna Kalvi, Sonja Gruen, Masami Tatsuno, Adrián Ponce-Alvarez
Publikováno v:
Philos Trans R Soc Lond B Biol Sci
Philosophical transactions / B 375(1799), 20190227-(2020). doi:10.1098/rstb.2019.0227
Philosophical transactions / B 375(1799), 20190227-(2020). doi:10.1098/rstb.2019.0227
Interaction between hippocampal sharp-wave ripples (SWRs) and UP states, possibly by coordinated reactivation of memory traces, is conjectured to play an important role in memory consolidation. Recently, it was reported that SWRs were differentiated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebb127b6ef8a695c0857e427de24c6cd
https://doi.org/10.1098/rstb.2019.0227
https://doi.org/10.1098/rstb.2019.0227
Autor:
Sonja Gruen, Henrik Lindén, Tom Tetzlaff, Sacha J. van Albada, Maria L. Stavrinou, Markus Diesmann, Gaute T. Einevoll, David Dahmen, Espen Hagen
Publikováno v:
3rd BrainScaleS plenary meeting, Marseille, France, 2013-04-17-2013-04-19
P17 (2013).
Proceedings of NeuroInformatics 2013
Proceedings of NeuroInformatics 2013NeuroInformatics 2013, Stockholm, Sweden, 2013-08-27-2013-08-29
Europe PubMed Central
BMC neuroscience 14(Suppl 1), (2013).
22nd Annual Computational Neuroscience Meeting, CNS*2013, Paris, France, 2013-07-13-2013-07-18
NeuroInformatics 2013, Stockholm, Sweden, 2013-08-27-2013-08-29
BMC Neuroscience
P17 (2013).
Proceedings of NeuroInformatics 2013
Proceedings of NeuroInformatics 2013NeuroInformatics 2013, Stockholm, Sweden, 2013-08-27-2013-08-29
Europe PubMed Central
BMC neuroscience 14(Suppl 1), (2013).
22nd Annual Computational Neuroscience Meeting, CNS*2013, Paris, France, 2013-07-13-2013-07-18
NeuroInformatics 2013, Stockholm, Sweden, 2013-08-27-2013-08-29
BMC Neuroscience
While recordings of extracellular potentials (EP) remain a common method for experimentally measuring neural activity, the interpretation of the low-frequency part, the local field potential (LFP), is not straightforward. Cortical LFPs seem to mainly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96b3547248bc8840b0f0dc08dbfa342b
Autor:
Sonja Grün, Stefan Rotter
Solid and transparent data analysis is the most important basis for reliable interpretation of experiments. The technique of parallel spike train recordings using multi-electrode arrangements has been available for many decades now, but only recently
Publikováno v:
BMC Neuroscience
Europe PubMed Central
BMC Neuroscience, Vol 12, Iss Suppl 1, p P132 (2011)
BMC neuroscience 12(S1), P132 (2011). doi:10.1186/1471-2202-12-S1-P132 special issue: "Twentieth Annual Computational Neuroscience Meeting: CNS*2011"
Twentieth Annual Computational Neuroscience Meeting, CNS* 2011
Europe PubMed Central
BMC Neuroscience, Vol 12, Iss Suppl 1, p P132 (2011)
BMC neuroscience 12(S1), P132 (2011). doi:10.1186/1471-2202-12-S1-P132 special issue: "Twentieth Annual Computational Neuroscience Meeting: CNS*2011"
Twentieth Annual Computational Neuroscience Meeting, CNS* 2011
BMC neuroscience 12(S1), P132 (2011). doi:10.1186/1471-2202-12-S1-P132 special issue: "Twentieth Annual Computational Neuroscience Meeting: CNS*2011"
Published by BioMed Central, London
Published by BioMed Central, London
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14cf4534e7ddc59e156eb08d0510438c
http://europepmc.org/articles/PMC3240226
http://europepmc.org/articles/PMC3240226
Publikováno v:
Neuroscience Research. 68:e380
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e7c31da7678c31eb5e09b32b9deef3f
https://doi.org/10.1016/j.neures.2010.07.1683
https://doi.org/10.1016/j.neures.2010.07.1683
Publikováno v:
Neuroscience Research. 68:e381
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d9c3daf6970d2373e4bd06cc8509314
https://doi.org/10.1016/j.neures.2010.07.1689
https://doi.org/10.1016/j.neures.2010.07.1689
Publikováno v:
Neuroscience Research. 65:S61
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00a8ad6853619cae57f477113f76a362
https://doi.org/10.1016/j.neures.2009.09.172
https://doi.org/10.1016/j.neures.2009.09.172