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Neurophysiology / Neural networks / Neurology / Synaptic plasticity / Synaptic scaling / Metaplasticity / Chemical synapse / Encoding / Neuron / Biology / Neuroscience / Nervous system


Optimal Recall from Bounded Metaplastic Synapses: Predicting Functional Adaptations in Hippocampal Area CA3 Cristina Savin1*, Peter Dayan2, Ma´te´ Lengyel1 1 Computational & Biological Learning Lab, Department of Engin
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Document Date: 2014-05-11 04:37:51

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Cambridge / /

Company

B. / F. / Wellcome Trust / C. / D. Net / A. / Creative Commons / Lengyel M (2014) Optimal / Monte Carlo / /

Country

United Kingdom / /

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Event

Product Recall / Product Issues / /

Facility

University College London / University of Cambridge / Indiana University / /

IndustryTerm

autoassociative memory networks / power-law / optimized feedforward network / all-to-all connected networks / recurrent network / potential solutions / optimised feed-forward network / hippocampal memory processing / online implementation / classical recurrent autoassociative memory networks / online form / online integration window / neural network / connected networks / control network / mean-field solution / larger network / realistic network / feed-forward network / connected network / approximate inference algorithms / large sparsely-connected networks / /

Organization

Gatsby Computational Neuroscience Unit / Department of Engineering / University College London / London / Computational & Biological Learning Lab / Indiana University / Gatsby Charitable Foundation / University of Cambridge / European Union / /

Position

original author / Editor / Author / representative / /

Product

example neurons / information / dynamics / performance / PLOS Computational Biology / sparse memories / in=out dynamics / trial / e1003489 Optimal / Eqs / cue / error / Having / performance of three networks / pattern / doi /

PublishedMedium

PLOS Computational Biology / the PLOS Computational Biology / /

Technology

Neuroscience / control network / approximate inference algorithms / neural network / /

URL

www.ploscompbiol.org / /

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