Zobrazeno 1 - 10
of 772
pro vyhledávání: '"Harel Z"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract The dominant theoretical framework to account for reinforcement learning in the brain is temporal difference learning (TD) learning, whereby certain units signal reward prediction errors (RPE). The TD algorithm has been traditionally mapped
Externí odkaz:
https://doaj.org/article/95d30bc37417449fa1fde79c1de22d6e
Autor:
Ian Cone, Harel Z Shouval
Publikováno v:
eLife, Vol 12 (2023)
Externí odkaz:
https://doaj.org/article/1e64571d4af14ad1ab6011098c76e49e
Autor:
Ian Cone, Harel Z. Shouval
Publikováno v:
Frontiers in Computational Neuroscience, Vol 15 (2021)
Traditional synaptic plasticity experiments and models depend on tight temporal correlations between pre- and postsynaptic activity. These tight temporal correlations, on the order of tens of milliseconds, are incompatible with significantly longer b
Externí odkaz:
https://doaj.org/article/b7e6643fefe14c13a1d6072264a01b4f
Autor:
Ian Cone, Harel Z Shouval
Publikováno v:
eLife, Vol 10 (2021)
Multiple brain regions are able to learn and express temporal sequences, and this functionality is an essential component of learning and memory. We propose a substrate for such representations via a network model that learns and recalls discrete seq
Externí odkaz:
https://doaj.org/article/43175e5b3b87499d9244af04b1a0ac68
Publikováno v:
PLoS ONE, Vol 14, Iss 12, p e0225756 (2019)
Current models of word-production in Broca's area (i.e. left ventro-lateral prefrontal cortex, VLPFC) posit that sequential and staggered semantic, lexical, phonological and articulatory processes precede articulation. Using millisecond-resolution in
Externí odkaz:
https://doaj.org/article/5ac2fddaf56b49dd9a3253925c368fa3
Publikováno v:
Frontiers in Synaptic Neuroscience, Vol 8 (2016)
The ability to maximize reward and avoid punishment is essential for animal survival. Reinforcement learning (RL) refers to the algorithms used by biological or artificial systems to learn how to maximize reward or avoid negative outcomes based on pa
Externí odkaz:
https://doaj.org/article/9c130a8d46064cc5a41c28b251bf9ac5
Autor:
Panayiotis Tsokas, Changchi Hsieh, Yudong Yao, Edith Lesburguères, Emma Jane Claire Wallace, Andrew Tcherepanov, Desingarao Jothianandan, Benjamin Rush Hartley, Ling Pan, Bruno Rivard, Robert V Farese, Mini P Sajan, Peter John Bergold, Alejandro Iván Hernández, James E Cottrell, Harel Z Shouval, André Antonio Fenton, Todd Charlton Sacktor
Publikováno v:
eLife, Vol 5 (2016)
PKMζ is a persistently active PKC isoform proposed to maintain late-LTP and long-term memory. But late-LTP and memory are maintained without PKMζ in PKMζ-null mice. Two hypotheses can account for these findings. First, PKMζ is unimportant for LTP
Externí odkaz:
https://doaj.org/article/10b79fb456d444189cf41efe0ed46ed9
Publikováno v:
Journal of Multidisciplinary Healthcare, Vol 2012, Iss default, Pp 77-84 (2012)
Ziv Harel1,2, Ron Wald1,3, Jeff Perl1,3, Daniel Schwartz4, Chaim Bell2,31Division of Nephrology, St Michael's Hospital, University of Toronto, Toronto, Ontario, 2Department of Health Policy Management and Evaluation, University of Toronto, Toronto, O
Externí odkaz:
https://doaj.org/article/e241fa8729014f98b68ddd47d004b408
Publikováno v:
Frontiers in Human Neuroscience, Vol 8 (2014)
The Scalar Timing Law, which is a temporal domain generalization of the well known Weber Law, states that the errors in estimating temporal intervals scale linearly with the durations of the intervals. Linear scaling has been studied extensively in h
Externí odkaz:
https://doaj.org/article/554ae82ff4714195b1ae4ec05c450d10
Publikováno v:
Frontiers in Computational Neuroscience, Vol 4 (2010)
Spike timing dependent plasticity (STDP) is a phenomenon in which the precise timing of spikes affects the sign and magnitude of changes in synaptic strength. STDP is often interpreted as the comprehensive learning rule for a synapse - the “first l
Externí odkaz:
https://doaj.org/article/9309cbd5139f4e7a9d826861c0972740