Literature DB >> 3778639

A model of hippocampal learning during classical conditioning.

D Zipser.   

Abstract

During classical conditioning of the rabbit blink reflex, a large fraction of the hippocampal pyramidal neurons are recruited to respond to the conditioned stimulus. The summed response of these neurons comes to match the whole time-amplitude profile of nictitating membrane movement, whereas some individual neurons respond only to part of this profile. A model is described which accounts for these data. The model proposes a learning rule to explain neuron recruitment and uses a tapped delay line to account for the temporal learning properties of the system and the spectrum of individual unit responses.

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Year:  1986        PMID: 3778639     DOI: 10.1037//0735-7044.100.5.764

Source DB:  PubMed          Journal:  Behav Neurosci        ISSN: 0735-7044            Impact factor:   1.912


  9 in total

1.  Connectionist models of conditioning: A tutorial.

Authors:  E J Kehoe
Journal:  J Exp Anal Behav       Date:  1989-11       Impact factor: 2.468

2.  Autoshaping and automaintenance: a neural-network approach.

Authors:  José E Burgos
Journal:  J Exp Anal Behav       Date:  2007-07       Impact factor: 2.468

Review 3.  Towards a unified model of pavlovian conditioning: short review of trace conditioning models.

Authors:  V I Kryukov
Journal:  Cogn Neurodyn       Date:  2012-02-22       Impact factor: 5.082

4.  Metabotropic glutamate receptor activation in cerebellar Purkinje cells as substrate for adaptive timing of the classically conditioned eye-blink response.

Authors:  J C Fiala; S Grossberg; D Bullock
Journal:  J Neurosci       Date:  1996-06-01       Impact factor: 6.167

5.  Learning stimulus intervals--adaptive timing of conditioned purkinje cell responses.

Authors:  Dan-Anders Jirenhed; Germund Hesslow
Journal:  Cerebellum       Date:  2011-09       Impact factor: 3.847

6.  Adaptively timed conditioned responses and the cerebellum: a neural network approach.

Authors:  J W Moore; J E Desmond; N E Berthier
Journal:  Biol Cybern       Date:  1989       Impact factor: 2.086

7.  Adaptive timing in neural networks: the conditioned response.

Authors:  J E Desmond; J W Moore
Journal:  Biol Cybern       Date:  1988       Impact factor: 2.086

8.  Inhibitory action of a conditioning procedure on visual responsive neurons of the nucleus reticularis thalami in rats.

Authors:  D Albrecht; A Uhlmann; H Davidowa
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

9.  Why trace and delay conditioning are sometimes (but not always) hippocampal dependent: a computational model.

Authors:  Ahmed A Moustafa; Ella Wufong; Richard J Servatius; Kevin C H Pang; Mark A Gluck; Catherine E Myers
Journal:  Brain Res       Date:  2012-11-23       Impact factor: 3.252

  9 in total

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