Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Alex Roxin"'
Autor:
Miguel Donderis, Jose Esnaola-Acebes, Bharath Talluri, Tobias Donner, Alex Roxin, Klaus Wimmer
Publikováno v:
IBRO Neuroscience Reports, Vol 15, Iss , Pp S777- (2023)
Externí odkaz:
https://doaj.org/article/bd6519b689404680b9b8407ae6fc4762
Autor:
Pan Ye, Alex Roxin
Publikováno v:
IBRO Neuroscience Reports, Vol 15, Iss , Pp S806- (2023)
Externí odkaz:
https://doaj.org/article/475aae6e619b4cafab9fcdeca6123d0f
Autor:
Pan Ye Li, Alex Roxin
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 8, p e1011139 (2023)
Episodic memories are formed after a single exposure to novel stimuli. The plasticity mechanisms underlying such fast learning still remain largely unknown. Recently, it was shown that cells in area CA1 of the hippocampus of mice could form or shift
Externí odkaz:
https://doaj.org/article/1aa5190cc4cb4c8bb8712baa652ab68b
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
Attractor networks and drift diffusion models are two approaches to model the perceptual decision making process. Here, the authors identify an intermediate regime only for the attractor model that allows flexible categorization of two choice decisio
Externí odkaz:
https://doaj.org/article/328f60abc3294064a7c03c0355ddba4c
Publikováno v:
eLife, Vol 7 (2018)
Place cells of the rodent hippocampus fire action potentials when the animal traverses a particular spatial location in any environment. Therefore for any given trajectory one observes a repeatable sequence of place cell activations. When the animal
Externí odkaz:
https://doaj.org/article/b7bc61bbbd5b47e3affe0e6cf5130161
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 9, p e1006430 (2018)
Oscillatory activity robustly correlates with task demands during many cognitive tasks. However, not only are the network mechanisms underlying the generation of these rhythms poorly understood, but it is also still unknown to what extent they may pl
Externí odkaz:
https://doaj.org/article/6ef1bda9dca6483eb9227c2e0c3df557
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 12, p e1005881 (2017)
Recurrently coupled networks of inhibitory neurons robustly generate oscillations in the gamma band. Nonetheless, the corresponding Wilson-Cowan type firing rate equation for such an inhibitory population does not generate such oscillations without a
Externí odkaz:
https://doaj.org/article/7391f6abdcfa4de7827e9e504a58a59f
Publikováno v:
eLife, Vol 6 (2017)
In the idling brain, neuronal circuits transition between periods of sustained firing (UP state) and quiescence (DOWN state), a pattern the mechanisms of which remain unclear. Here we analyzed spontaneous cortical population activity from anesthetize
Externí odkaz:
https://doaj.org/article/92b5f29f99774b82a5e5a48831f27f5c
Autor:
Alex Roxin, Stefano Fusi
Publikováno v:
PLoS Computational Biology, Vol 9, Iss 7, p e1003146 (2013)
Long-term memories are likely stored in the synaptic weights of neuronal networks in the brain. The storage capacity of such networks depends on the degree of plasticity of their synapses. Highly plastic synapses allow for strong memories, but these
Externí odkaz:
https://doaj.org/article/b7d1be376dbf4986a6b53ce080d3910e
Autor:
Alex Roxin, Anders Ledberg
Publikováno v:
PLoS Computational Biology, Vol 4, Iss 3, p e1000046 (2008)
The response behaviors in many two-alternative choice tasks are well described by so-called sequential sampling models. In these models, the evidence for each one of the two alternatives accumulates over time until it reaches a threshold, at which po
Externí odkaz:
https://doaj.org/article/eb1c714101314678a33112ab4b89ffed