Zobrazeno 1 - 7
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pro vyhledávání: '"Leo Kozachkov"'
Autor:
Leo Kozachkov, John Tauber, Mikael Lundqvist, Scott L Brincat, Jean-Jacques Slotine, Earl K Miller
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 12, p e1010776 (2022)
Working memory has long been thought to arise from sustained spiking/attractor dynamics. However, recent work has suggested that short-term synaptic plasticity (STSP) may help maintain attractor states over gaps in time with little or no spiking. To
Externí odkaz:
https://doaj.org/article/10cb46d8651c40efb2288e1d61434ae6
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 8, p e1007659 (2020)
The brain consists of many interconnected networks with time-varying, partially autonomous activity. There are multiple sources of noise and variation yet activity has to eventually converge to a stable, reproducible state (or sequence of states) for
Externí odkaz:
https://doaj.org/article/36ca6e6077b44684b6c62a98fe0389f6
Glial cells account for roughly 90% of all human brain cells, and serve a variety of important developmental, structural, and metabolic functions. Recent experimental efforts suggest that astrocytes, a type of glial cell, are also directly involved i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3be94ac6167b5c7d4d7e0790f5690ad4
https://doi.org/10.1101/2022.10.12.511910
https://doi.org/10.1101/2022.10.12.511910
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 8, p e1007659 (2020)
PLoS Computational Biology
PLoS Computational Biology
The brain consists of many interconnected networks with time-varying, partially autonomous activity. There are multiple sources of noise and variation yet activity has to eventually converge to a stable, reproducible state (or sequence of states) for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2221d2a7d39283691e2e7cf7a454eef
https://doaj.org/article/36ca6e6077b44684b6c62a98fe0389f6
https://doaj.org/article/36ca6e6077b44684b6c62a98fe0389f6
Publikováno v:
Brain Informatics ISBN: 9783030592769
BI
BI
The neuronal paradigm of studying the brain has left us with limitations in both our understanding of how neurons process information to achieve biological intelligence and how such knowledge may be translated into artificial intelligence and even it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e33635cd974cf0a0bd8a02c78c1fad11
https://doi.org/10.1007/978-3-030-59277-6_32
https://doi.org/10.1007/978-3-030-59277-6_32
1AbstractThe brain consists of many interconnected networks with time-varying activity. There are multiple sources of noise and variation yet activity has to eventually converge to a stable state for its computations to make sense. We approached this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::687b42aefaa94e328311347e95f0f0f0
Autor:
Leo Kozachkov, John Tauber, Mikael Lundqvist, Scott L. Brincat, Jean-Jacques Slotine, Earl K. Miller
Publikováno v:
PLOS Computational Biology
Working memory has long been thought to arise from sustained spiking/attractor dynamics. However, recent work has suggested that short-term synaptic plasticity (STSP) may help maintain attractor states over gaps in time with little or no spiking. To
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31f31fd981c69534f90212f3bde4c3b3