Literature DB >> 26504227

Purkinje cell activity during classical conditioning with different conditional stimuli explains central tenet of Rescorla–Wagner model [corrected].

Anders Rasmussen1, Riccardo Zucca2, Fredrik Johansson3, Dan-Anders Jirenhed3, Germund Hesslow3.   

Abstract

A central tenet of Rescorla and Wagner's model of associative learning is that the reinforcement value of a paired trial diminishes as the associative strength between the presented stimuli increases. Despite its fundamental importance to behavioral sciences, the neural mechanisms underlying the model have not been fully explored. Here, we present findings that, taken together, can explain why a stronger association leads to a reduced reinforcement value, within the context of eyeblink conditioning. Specifically, we show that learned pause responses in Purkinje cells, which trigger adaptively timed conditioned eyeblinks, suppress the unconditional stimulus (US) signal in a graded manner. Furthermore, by examining how Purkinje cells respond to two distinct conditional stimuli and to a compound stimulus, we provide evidence that could potentially help explain the somewhat counterintuitive overexpectation phenomenon, which was derived from the Rescorla-Wagner model.

Keywords:  Rescorla–Wagner model; climbing fibers; eyeblink conditioning; inferior olive; nucleo-olivary pathway

Mesh:

Year:  2015        PMID: 26504227      PMCID: PMC4653177          DOI: 10.1073/pnas.1516986112

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


  41 in total

1.  Blocking, unblocking, and overexpectation of fear: a role for opioid receptors in the regulation of Pavlovian association formation.

Authors:  Gavan P McNally; Michael Pigg; Gabrielle Weidemann
Journal:  Behav Neurosci       Date:  2004-02       Impact factor: 1.912

2.  Cerebellar inhibition of inferior olivary transmission in the decerebrate ferret.

Authors:  P Svensson; F Bengtsson; G Hesslow
Journal:  Exp Brain Res       Date:  2005-08-20       Impact factor: 1.972

3.  Inhibitory cerebello-olivary projections and blocking effect in classical conditioning.

Authors:  J J Kim; D J Krupa; R F Thompson
Journal:  Science       Date:  1998-01-23       Impact factor: 47.728

Review 4.  Consensus paper: current views on the role of cerebellar interpositus nucleus in movement control and emotion.

Authors:  Vincenzo Perciavalle; Richard Apps; Vlastislav Bracha; José M Delgado-García; Alan R Gibson; Maria Leggio; Andrew J Carrel; Nadia Cerminara; Marinella Coco; Agnès Gruart; Raudel Sánchez-Campusano
Journal:  Cerebellum       Date:  2013-10       Impact factor: 3.847

5.  Evidence for a GABA-mediated cerebellar inhibition of the inferior olive in the cat.

Authors:  G Andersson; M Garwicz; G Hesslow
Journal:  Exp Brain Res       Date:  1988       Impact factor: 1.972

6.  Cerebellum: essential involvement in the classically conditioned eyelid response.

Authors:  D A McCormick; R F Thompson
Journal:  Science       Date:  1984-01-20       Impact factor: 47.728

7.  Correspondence between climbing fibre input and motor output in eyeblink-related areas in cat cerebellar cortex.

Authors:  G Hesslow
Journal:  J Physiol       Date:  1994-04-15       Impact factor: 5.182

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.  A new combination of WGA-HRP anterograde tracing and GABA immunocytochemistry applied to afferents of the cat inferior olive at the ultrastructural level.

Authors:  C I de Zeeuw; J C Holstege; F Calkoen; T J Ruigrok; J Voogd
Journal:  Brain Res       Date:  1988-05-03       Impact factor: 3.252

Review 10.  Cerebellar control of the inferior olive.

Authors:  Fredrik Bengtsson; Germund Hesslow
Journal:  Cerebellum       Date:  2006       Impact factor: 3.648

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  6 in total

Review 1.  Regulation and Interaction of Multiple Types of Synaptic Plasticity in a Purkinje Neuron and Their Contribution to Motor Learning.

Authors:  Tomoo Hirano
Journal:  Cerebellum       Date:  2018-12       Impact factor: 3.847

2.  Differential Coding Strategies in Glutamatergic and GABAergic Neurons in the Medial Cerebellar Nucleus.

Authors:  Orçun Orkan Özcan; Xiaolu Wang; Francesca Binda; Kevin Dorgans; Chris I De Zeeuw; Zhenyu Gao; Ad Aertsen; Arvind Kumar; Philippe Isope
Journal:  J Neurosci       Date:  2019-11-06       Impact factor: 6.167

Review 3.  On the research of time past: the hunt for the substrate of memory.

Authors:  Bridget N Queenan; Tomás J Ryan; Michael S Gazzaniga; Charles R Gallistel
Journal:  Ann N Y Acad Sci       Date:  2017-05       Impact factor: 5.691

4.  Implementing Goal-Directed Foraging Decisions of a Simpler Nervous System in Simulation.

Authors:  Jeffrey W Brown; Derek Caetano-Anollés; Marianne Catanho; Ekaterina Gribkova; Nathaniel Ryckman; Kun Tian; Mikhail Voloshin; Rhanor Gillette
Journal:  eNeuro       Date:  2018-03-01

5.  Climbing Fiber Regulation of Spontaneous Purkinje Cell Activity and Cerebellum-Dependent Blink Responses(1,2,3).

Authors:  Riccardo Zucca; Anders Rasmussen; Fredrik Bengtsson
Journal:  eNeuro       Date:  2016-01-25

6.  Weak correlations between cerebellar tests.

Authors:  Karolina Löwgren; Rasmus Bååth; Anders Rasmussen
Journal:  Sci Rep       Date:  2020-06-02       Impact factor: 4.379

  6 in total

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