Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Birgit Kriener"'
Autor:
Johanna Senk, Birgit Kriener, Mikael Djurfeldt, Nicole Voges, Han-Jia Jiang, Lisa Schüttler, Gabriele Gramelsberger, Markus Diesmann, Hans E Plesser, Sacha J van Albada
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 9, p e1010086 (2022)
Sustainable research on computational models of neuronal networks requires published models to be understandable, reproducible, and extendable. Missing details or ambiguities about mathematical concepts and assumptions, algorithmic implementations, o
Externí odkaz:
https://doaj.org/article/afafb13c753d4821b16e6e51f46ad622
Publikováno v:
Cell Reports, Vol 39, Iss 11, Pp 110948- (2022)
Summary: Dendrites are essential determinants of the input-output relationship of single neurons, but their role in network computations is not well understood. Here, we use a combination of dendritic patch-clamp recordings and in silico modeling to
Externí odkaz:
https://doaj.org/article/ec1c20655c4e4989a4a577bcd9fca10e
Publikováno v:
New Journal of Physics, Vol 14, Iss 9, p 093002 (2012)
Synchrony prevalently emerges from the interactions of coupled dynamical units. For simple systems such as networks of phase oscillators, the asymptotic synchronization process is assumed to be equivalent to a Markov process that models standard diff
Externí odkaz:
https://doaj.org/article/59323c862d694a968c66aaa19fd9c381
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Proceedings of the National Academy of Sciences of the United States of America, vol 117, iss 41
Proceedings of the National Academy of Sciences of the United States of America, vol 117, iss 41
Significance Animals frequently need to choose the best alternative from a set of possibilities, whether it is which direction to swim in or which food source to favor. How long should a network of neurons take to choose the best of N options? Theore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e17faa326452bebc8465814cf7d71f8
https://doi.org/10.1073/pnas.1917551117
https://doi.org/10.1073/pnas.1917551117
Publikováno v:
Cell reports. 39(11)
Dendrites are important determinants of the input-output relationship of single neurons, but their role in network computations is not well understood. Here, we used a combination of dendritic patch-clamp recordings and in silico modeling to determin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::763128618ed8c78cb258252575acf471
https://pubmed.ncbi.nlm.nih.gov/35705055
https://pubmed.ncbi.nlm.nih.gov/35705055
Publikováno v:
Journal of Computational Neuroscience
Journal of computational neuroscience 45(2), 103-132 (2018). doi:10.1007/s10827-018-0693-9
22nd Annual Computational Neuroscience Meeting, CNS*2013, Paris, France, 2013-07-13-2013-07-18
BMC neuroscience 14(Suppl 1), (2013).
BMC Neuroscience
Journal of computational neuroscience 45(2), 103-132 (2018). doi:10.1007/s10827-018-0693-9
22nd Annual Computational Neuroscience Meeting, CNS*2013, Paris, France, 2013-07-13-2013-07-18
BMC neuroscience 14(Suppl 1), (2013).
BMC Neuroscience
Instantaneous firing rates are commonly used to describe either the compound spiking activity of neuron ensembles (population rate) or the trial-averaged response of individual neurons to multiple repetitions of the same stimulus. The dynamics of fir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6eb5e89415262968723320545a1d816
https://hdl.handle.net/11250/2585605
https://hdl.handle.net/11250/2585605
Publikováno v:
Neural Networks
We investigate the generation and annihilation of persistent localized activity states, so-called bumps, in response to transient spatiotemporal external input in a two-population neural-field model of the Wilson-Cowan type. Such persistent cortical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df6bc83346392818a3b654f42f1e7923
https://doi.org/10.1016/j.neunet.2013.04.012
https://doi.org/10.1016/j.neunet.2013.04.012
Publikováno v:
Journal of Computational Neuroscience
Journal of computational neuroscience 35(3), 359-375 (2013). doi:10.1007/s10827-013-0456-6
Journal of computational neuroscience 35(3), 359-375 (2013). doi:10.1007/s10827-013-0456-6
Firing-rate models provide a practical tool for studying signal processing in the early visual system, permitting more thorough mathematical analysis than spike-based models. We show here that essential response properties of relay cells in the later
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c71915dd0f84df4e5c4bde9d5aae7ed2
https://doi.org/10.1007/s10827-013-0456-6
https://doi.org/10.1007/s10827-013-0456-6
Publikováno v:
Journal of Computational Neuroscience
Can the topology of a recurrent spiking network be inferred from observed activity dynamics? Which statistical parameters of network connectivity can be extracted from firing rates, correlations and related measurable quantities? To approach these qu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::280400188ebc292b329de2a45b54c79e
https://doi.org/10.1007/s10827-008-0135-1
https://doi.org/10.1007/s10827-008-0135-1
Publikováno v:
Neural Computation. 20:2185-2226
The function of cortical networks depends on the collective interplay between neurons and neuronal populations, which is reflected in the correlation of signals that can be recorded at different levels. To correctly interpret these observations it is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d680ba25c1697e4384eebbfcdce149d
https://doi.org/10.1162/neco.2008.02-07-474
https://doi.org/10.1162/neco.2008.02-07-474