Optimal Properties of Analog Perceptrons with Excitatory Weights

PLoS Computational Biology

Volumn 9, Issue 2, 2013, Pages

  Clopath, Claudia ^a,b   Brunel, Nicolas ^a,c  

^a UNIVERSITÉ PARIS DESCARTES   (France)

^b Howard Hughes Medical Institute   (United States)

^c UNIVERSITY OF CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CYTOLOGY; NEURONS;

ANALOG INPUTS; BRAIN STRUCTURE; CLIMBING FIBERS; ERROR SIGNAL; FIRING RATES; INPUT-OUTPUT; OPTIMAL PROPERTIES; PARALLEL FIBERS; PERCEPTRON LEARNING; PURKINJE CELLS;

CELLS;

ARTICLE; CELLULAR DISTRIBUTION; GRANULE CELL; MATHEMATICAL COMPUTING; PERCEPTRON; PURKINJE CELL; STATISTICAL ANALYSIS; SYNAPTIC POTENTIAL; WEIGHT;

EID: 84874762088     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002919     Document Type: Article

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