What can we learn from synaptic weight distributions?

Abstract:

:Much research effort into synaptic plasticity has been motivated by the idea that modifications of synaptic weights (or strengths or efficacies) underlie learning and memory. Here, we examine the possibility of exploiting the statistics of experimentally measured synaptic weights to deduce information about the learning process. Analysing distributions of synaptic weights requires a theoretical framework to interpret the experimental measurements, but the results can be unexpectedly powerful, yielding strong constraints on possible learning theories as well as information that is difficult to obtain by other means, such as the information storage capacity of a cell. We review the available experimental and theoretical techniques as well as important open issues.

journal_name

Trends Neurosci

journal_title

Trends in neurosciences

authors

Barbour B,Brunel N,Hakim V,Nadal JP

doi

10.1016/j.tins.2007.09.005

subject

Has Abstract

pub_date

2007-12-01 00:00:00

pages

622-9

issue

12

eissn

0166-2236

issn

1878-108X

pii

S0166-2236(07)00261-5

journal_volume

30

pub_type

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