Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Samuel P. Muscinelli"'
Publikováno v:
eLife, Vol 12 (2023)
The cerebellar granule cell layer has inspired numerous theoretical models of neural representations that support learned behaviors, beginning with the work of Marr and Albus. In these models, granule cells form a sparse, combinatorial encoding of di
Externí odkaz:
https://doaj.org/article/a73fb784104d4403bb836071ed4410e9
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 6, p e1007122 (2019)
While most models of randomly connected neural networks assume single-neuron models with simple dynamics, neurons in the brain exhibit complex intrinsic dynamics over multiple timescales. We analyze how the dynamical properties of single neurons and
Externí odkaz:
https://doaj.org/article/a9887fa4e6cf499f977a08ec074f3b6d
Autor:
Carl C.H. Petersen, Sylvain Crochet, Vahid Esmaeili, Marta Boscaglia, Samuel P. Muscinelli, Alireza Modirshanechi, Georgios Foustoukos, Keita Tamura, Wulfram Gerstner, Yanqi Liu, Ashley B. Lee, Anastasiia Oryshchuk
Publikováno v:
bioRxiv
Neuron
Neuron
Summary The neuronal mechanisms generating a delayed motor response initiated by a sensory cue remain elusive. Here, we tracked the precise sequence of cortical activity in mice transforming a brief whisker stimulus into delayed licking using wide-fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06f8d1faefc2a74bd7d384939f46bb81
Publikováno v:
Frontiers in Computational Neuroscience, Vol 13 (2019)
Frontiers in Computational Neuroscience
Frontiers in Computational Neuroscience
Consolidation of synaptic changes in response to neural activity is thought to be fundamental for memory maintenance over a timescale of hours. In experiments, synaptic consolidation can be induced by repeatedly stimulating presynaptic neurons. Howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12699cc5a5008697efdfc2ca8dbba82b
http://arxiv.org/abs/1805.10116
http://arxiv.org/abs/1805.10116
Publikováno v:
Neural computation. 29(2)
We show that Hopfield neural networks with synchronous dynamics and asymmetric weights admit stable orbits that form sequences of maximal length. For [Formula: see text] units, these sequences have length [Formula: see text]; that is, they cover the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53f45f02a769223800f5746aef2ca71e
https://pubmed.ncbi.nlm.nih.gov/27870611
https://pubmed.ncbi.nlm.nih.gov/27870611
Autor:
Wulfram Gerstner, Samuel P. Muscinelli
Publikováno v:
BMC Neuroscience
Playing the piano, speaking or playing tennis are just few examples of behavioral situations in which we need to perform sequences of actions. The neurophysiological mechanisms that underlie the production and learning of such sequences are far from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d47d4f7171d34c1ca7063a21a7bdf83e
http://europepmc.org/articles/PMC4697588
http://europepmc.org/articles/PMC4697588