Associative Learning Should Go Deep.

Abstract:

:Conditioning, how animals learn to associate two or more events, is one of the most influential paradigms in learning theory. It is nevertheless unclear how current models of associative learning can accommodate complex phenomena without ad hoc representational assumptions. We propose to embrace deep neural networks to negotiate this problem.

journal_name

Trends Cogn Sci

authors

Mondragón E,Alonso E,Kokkola N

doi

10.1016/j.tics.2017.06.001

subject

Has Abstract

pub_date

2017-11-01 00:00:00

pages

822-825

issue

11

eissn

1364-6613

issn

1879-307X

pii

S1364-6613(17)30125-0

journal_volume

21

pub_type

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