Literature DB >> 16801502

Pavlovian conditioning in Hermissenda: a circuit analysis.

Terry Crow1, Lian-Ming Tian.   

Abstract

An understanding of associative learning requires (1) an adequate description of the experimental conditions under which learning is produced, (2) a knowledge of what is learned or the determination of the content of learning, and (3) an explanation of how learning generates changes in behavior (Rescorla, 1980). These basic issues are being addressed at both the behavioral and cellular/molecular levels by the analysis of associative learning in animals with relatively uncomplex nervous systems. Use of Pavlovian conditioning of invertebrates as a model for associative learning has led to the identification of cellular and synaptic mechanisms underlying the formation of basic associations. However, an understanding of the associative processes that form the basis for Pavlovian conditioning requires an explanation not only of the mechanisms of temporal contiguity or predictability between the conditioned stimulus (CS) and the unconditioned stimulus (US), but also of how changes produced in the nervous system by conditioning are expressed in behavior. Studies with invertebrates have provided the opportunity to examine how associative learning is expressed in the neural circuitry that supports the generation of learned behavior.

Mesh:

Year:  2006        PMID: 16801502     DOI: 10.2307/4134565

Source DB:  PubMed          Journal:  Biol Bull        ISSN: 0006-3185            Impact factor:   1.818


  6 in total

1.  Sensory regulation of network components underlying ciliary locomotion in Hermissenda.

Authors:  Terry Crow; Lian-Ming Tian
Journal:  J Neurophysiol       Date:  2008-09-03       Impact factor: 2.714

2.  Network interneurons underlying ciliary locomotion in Hermissenda.

Authors:  Terry Crow; Nan Ge Jin; Lian-Ming Tian
Journal:  J Neurophysiol       Date:  2012-11-14       Impact factor: 2.714

3.  Computational model of the distributed representation of operant reward memory: combinatoric engagement of intrinsic and synaptic plasticity mechanisms.

Authors:  Renan M Costa; Douglas A Baxter; John H Byrne
Journal:  Learn Mem       Date:  2020-05-15       Impact factor: 2.460

4.  Comparative Analysis of Neuropeptides in Homologous Interneurons and Prohormone Annotation in Nudipleuran Sea Slugs.

Authors:  Colin A Lee; Elena V Romanova; Bruce R Southey; Rhanor Gillette; Jonathan V Sweedler
Journal:  Front Physiol       Date:  2021-12-23       Impact factor: 4.566

5.  Role of tonic inhibition in associative reward conditioning in lymnaea.

Authors:  Vincenzo Marra; Ildikó Kemenes; Dimitris Vavoulis; Jianfeng Feng; Michael O'Shea; Paul R Benjamin
Journal:  Front Behav Neurosci       Date:  2010-09-15       Impact factor: 3.558

6.  Parallel encoding of sensory history and behavioral preference during Caenorhabditis elegans olfactory learning.

Authors:  Christine E Cho; Chantal Brueggemann; Noelle D L'Etoile; Cornelia I Bargmann
Journal:  Elife       Date:  2016-07-06       Impact factor: 8.140

  6 in total

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