Literature DB >> 3357894

A plausible neural circuit for classical conditioning without synaptic plasticity.

G Tesauro1.   

Abstract

The cellular bases of learning are currently under active investigation by both experimental and theoretical means. In this paper, a simple neuronal wiring diagram is proposed that can reproduce both simple and higher-order behavioral paradigms seen in invertebrate classical conditioning experiments. Learning in this model does not take place by modification of synaptic strength values. Instead, the model uses a layer of interneurons with modifiable thresholds for spike initiation, as suggested by the plasticity mechanisms thought to operate in Hermissenda [Alkon, D. L. (1983) Sci. Am. 249, 70-84]. The model therefore has an advantage in plausibility compared with more standard models using Hebb synapses or their functional equivalents, which have not yet been demonstrated in any invertebrate organism.

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Year:  1988        PMID: 3357894      PMCID: PMC280093          DOI: 10.1073/pnas.85.8.2830

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  12 in total

Review 1.  Cellular mechanisms of learning, memory, and information storage.

Authors:  J Farley; D L Alkon
Journal:  Annu Rev Psychol       Date:  1985       Impact factor: 24.137

2.  Hebbian synapses in hippocampus.

Authors:  S R Kelso; A H Ganong; T H Brown
Journal:  Proc Natl Acad Sci U S A       Date:  1986-07       Impact factor: 11.205

3.  Simulation of the classically conditioned nictitating membrane response by a neuron-like adaptive element: response topography, neuronal firing, and interstimulus intervals.

Authors:  J W Moore; J E Desmond; N E Berthier; D E Blazis; R S Sutton; A G Barto
Journal:  Behav Brain Res       Date:  1986-08       Impact factor: 3.332

4.  Simple neural models of classical conditioning.

Authors:  G Tesauro
Journal:  Biol Cybern       Date:  1986       Impact factor: 2.086

5.  Differential conditioning of associative synaptic enhancement in hippocampal brain slices.

Authors:  S R Kelso; T H Brown
Journal:  Science       Date:  1986-04-04       Impact factor: 47.728

6.  Is there a cell-biological alphabet for simple forms of learning?

Authors:  R D Hawkins; E R Kandel
Journal:  Psychol Rev       Date:  1984-07       Impact factor: 8.934

7.  Learning in a marine snail.

Authors:  D L Alkon
Journal:  Sci Am       Date:  1983-07       Impact factor: 2.142

8.  Toward a modern theory of adaptive networks: expectation and prediction.

Authors:  R S Sutton; A G Barto
Journal:  Psychol Rev       Date:  1981-03       Impact factor: 8.934

9.  Differential classical conditioning of a defensive withdrawal reflex in Aplysia californica.

Authors:  T J Carew; R D Hawkins; E R Kandel
Journal:  Science       Date:  1983-01-28       Impact factor: 47.728

10.  Discriminative behavior and Pavlovian conditioning in the mollusc Pleurobranchaea.

Authors:  G J Mpitsos; C S Cohan
Journal:  J Neurobiol       Date:  1986-09
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  2 in total

1.  Local adaptations of two naturally occurring neuronal conductances, gK + (A) and gK + (Ca), allow for associative conditioning and contiguity judgements in artificial neural networks.

Authors:  J Berner; C D Woody
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

2.  On the possible involvement of glutamate receptors in conditioning of behavioural effects of apomorphine.

Authors:  S Welsch-Kunze; K Kuschinsky
Journal:  Psychopharmacology (Berl)       Date:  1990       Impact factor: 4.530

  2 in total

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