Zobrazeno 1 - 8
of 8
pro vyhledávání: '"James B Isbister"'
Autor:
András Ecker, Daniela Egas Santander, Sirio Bolaños-Puchet, James B Isbister, Michael W Reimann
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 3, p e1011891 (2024)
Recent developments in experimental techniques have enabled simultaneous recordings from thousands of neurons, enabling the study of functional cell assemblies. However, determining the patterns of synaptic connectivity giving rise to these assemblie
Externí odkaz:
https://doaj.org/article/060fdf23de4a43edb47f41ab387f6289
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-20 (2021)
Abstract How information in the nervous system is encoded by patterns of action potentials (i.e. spikes) remains an open question. Multi-neuron patterns of single spikes are a prime candidate for spike time encoding but their temporal variability req
Externí odkaz:
https://doaj.org/article/2b78186dac124be09ddbe822363fcf9e
Autor:
András Ecker, Daniela Egas Santander, Sirio Bolaños-Puchet, James B. Isbister, Michael W. Reimann
Recent developments in experimental techniques have enabled simultaneous recordings from thousands of neurons, enabling the study of functional cell assemblies. However, determining the patterns of synaptic connectivity giving rise to these assemblie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4de58eccf786b9bc95433261e8ca90e5
https://doi.org/10.1101/2023.02.24.529863
https://doi.org/10.1101/2023.02.24.529863
Autor:
Michael W. Reimann, Sirio Bolaños-Puchet, Jean-Denis Courcol, Daniela Egas Santander, Alexis Arnaudon, Benoît Coste, Thomas Delemontex, Adrien Devresse, Hugo Dictus, Alexander Dietz, András Ecker, Cyrille Favreau, Gianluca Ficarelli, Mike Gevaert, Juan B. Hernando, Joni Herttuainen, James B. Isbister, Lida Kanari, Daniel Keller, James King, Pramod Kumbhar, Samuel Lapere, Jānis Lazovskis, Huanxiang Lu, Nicolas Ninin, Fernando Pereira, Judit Planas, Christoph Pokorny, Juan Luis Riquelme, Armando Romani, Ying Shi, Jason P. Smith, Vishal Sood, Mohit Srivastava, Werner Van Geit, Liesbeth Vanherpe, Matthias Wolf, Ran Levi, Kathryn Hess, Felix Schürmann, Eilif B. Muller, Srikanth Ramaswamy, Henry Markram
The function of the neocortex is fundamentally determined by its repeating microcircuit motif, but also by its rich, hierarchical, interregional structure with a highly specific laminar architecture. The last decade has seen the emergence of extensiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe627eb2c78c5eb420f9c4c1179d84b0
https://doi.org/10.1101/2022.08.11.503144
https://doi.org/10.1101/2022.08.11.503144
Publikováno v:
Clinical Hemorheology and Microcirculation. 5:373-384
Spiking Neural Network (SNN) simulations require internal variables – such as the membrane voltages of individual neurons and their synaptic inputs – to be updated on a sub-millisecond resolution. As a result, a single second of simulation time r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e689e9a66dbd6225aac0d177c13724c
https://doi.org/10.1101/461160
https://doi.org/10.1101/461160
Autor:
Juan M. Galeazzi, Mark J. Buckley, Simon M. Stringer, James B. Isbister, Akihiro Eguchi, Nasir Ahmad
Publikováno v:
Interface Focus
We discuss a recently proposed approach to solve the classic feature-binding problem in primate vision that uses neural dynamics known to be present within the visual cortex. Broadly, the feature-binding problem in the visual context concerns not onl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb553f676a1a19723308e253a554b290
https://doi.org/10.1098/rsfs.2018.0021
https://doi.org/10.1098/rsfs.2018.0021
Publikováno v:
Psychological review. 125(4)
We present a hierarchical neural network model, in which subpopulations of neurons develop fixed and regularly repeating temporal chains of spikes (polychronization), which respond specifically to randomized Poisson spike trains representing the inpu