Literature DB >> 6277346

Simulation of anticipatory responses in classical conditioning by a neuron-like adaptive element.

A G Barto, R S Sutton.   

Abstract

A neuron-like adaptive element is described that produces an important feature of the anticipatory nature of classical conditioning. The response that occurs after training (conditioned response) usually begins earlier than the reinforcing stimulus (unconditioned stimulus). The conditioned response therefore usually anticipates the unconditioned stimulus. This aspect of classical conditioning has been largely neglected by hypotheses that neurons provide single unit analogs of conditioning. This paper briefly presents the model and extends earlier results by computer simulation of conditioned inhibition and chaining of associations.

Mesh:

Year:  1982        PMID: 6277346     DOI: 10.1016/0166-4328(82)90001-8

Source DB:  PubMed          Journal:  Behav Brain Res        ISSN: 0166-4328            Impact factor:   3.332


  9 in total

1.  Simple neural models of classical conditioning.

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

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

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

3.  Associative neural network model for the generation of temporal patterns. Theory and application to central pattern generators.

Authors:  D Kleinfeld; H Sompolinsky
Journal:  Biophys J       Date:  1988-12       Impact factor: 4.033

4.  Correlation of cue-locked FRN and feedback-locked FRN in the auditory monetary incentive delay task.

Authors:  Elena Krugliakova; Vasily Klucharev; Tommaso Fedele; Alexey Gorin; Aleksandra Kuznetsova; Anna Shestakova
Journal:  Exp Brain Res       Date:  2017-12-01       Impact factor: 1.972

5.  Dopamine cells respond to predicted events during classical conditioning: evidence for eligibility traces in the reward-learning network.

Authors:  Wei-Xing Pan; Robert Schmidt; Jeffery R Wickens; Brian I Hyland
Journal:  J Neurosci       Date:  2005-06-29       Impact factor: 6.167

Review 6.  Anticipatory reward processing in addicted populations: a focus on the monetary incentive delay task.

Authors:  Iris M Balodis; Marc N Potenza
Journal:  Biol Psychiatry       Date:  2014-09-10       Impact factor: 13.382

7.  Behavioral flexibility is increased by optogenetic inhibition of neurons in the nucleus accumbens shell during specific time segments.

Authors:  Luca Aquili; Andrew W Liu; Mayumi Shindou; Tomomi Shindou; Jeffery R Wickens
Journal:  Learn Mem       Date:  2014-04-01       Impact factor: 2.460

8.  Correlates of reward-predictive value in learning-related hippocampal neural activity.

Authors:  Murat Okatan
Journal:  Hippocampus       Date:  2009-05       Impact factor: 3.899

9.  SSCC TD: a serial and simultaneous configural-cue compound stimuli representation for temporal difference learning.

Authors:  Esther Mondragón; Jonathan Gray; Eduardo Alonso; Charlotte Bonardi; Dómhnall J Jennings
Journal:  PLoS One       Date:  2014-07-23       Impact factor: 3.240

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.