UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Sensory prediction or motor control? Application of Marr-Albus type models of cerebellar function to classical conditioning

Lepora, NF; Porrill, J; Yeo, CH; Dean, P; (2010) Sensory prediction or motor control? Application of Marr-Albus type models of cerebellar function to classical conditioning. Frontiers in Computational Neuroscience , 4 , Article 140. 10.3389/fncom.2010.00140. Green open access

[img]
Preview
PDF
fncom-04-00140.pdf

Download (2MB)

Abstract

Marr-Albus adaptive filter models of the cerebellum have been applied successfully to a range of sensory and motor control problems. Here we analyze their properties when applied to classical conditioning of the nictitating membrane response in rabbits. We consider a system-level model of eyeblink conditioning based on the anatomy of the eyeblink circuitry, comprising an adaptive filter model of the cerebellum, a comparator model of the inferior olive and a linear dynamic model of the nictitating membrane plant. To our knowledge, this is the first model that explicitly includes all these principal components, in particular the motor plant that is vital for shaping and timing the behavioral response. Model assumptions and parameters were systematically investigated to disambiguate basic computational capacities of the model from features requiring tuning of properties and parameter values. Without such tuning, the model robustly reproduced a range of behaviors related to sensory prediction, by displaying appropriate trial-level associative learning effects for both single and multiple stimuli, including blocking and conditioned inhibition. In contrast, successful reproduction of the real-time motor behavior depended on appropriate specification of the plant, cerebellum and comparator models. Although some of these properties appear consistent with the system biology, fundamental questions remain about how the biological parameters are chosen if the cerebellar microcircuit applies a common computation to many distinct behavioral tasks. It is possible that the response profiles in classical conditioning of the eyeblink depend upon operant contingencies that have previously prevailed, for example in naturally occurring avoidance movements.

Type: Article
Title: Sensory prediction or motor control? Application of Marr-Albus type models of cerebellar function to classical conditioning
Open access status: An open access version is available from UCL Discovery
DOI: 10.3389/fncom.2010.00140
Publisher version: http://dx.doi.org/10.3389/fncom.2010.00140
Language: English
Additional information: Copyright: © 2010 Lepora, Porrill, Yeo and Dean. This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.
Keywords: classical conditioning, cerebellum, eyeblink conditioning, adaptive filter, Marr-Albus, motor learning, inferior olive, NICTITATING-MEMBRANE RESPONSE, INFERIOR OLIVARY TRANSMISSION, RED NUCLEUS STIMULATION, PURKINJE-CELL ACTIVITY, NEURAL-NETWORK MODEL, EYELID RESPONSES, INTERSTIMULUS INTERVALS, TEMPORAL DISCRIMINATION, DECEREBRATE FERRET, ADAPTIVE-CONTROL
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Neuro, Physiology and Pharmacology
URI: https://discovery.ucl.ac.uk/id/eprint/1314928
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item