Literature DB >> 34902112

The Shape of Data: a Theory of the Representation of Information in the Cerebellar Cortex.

Mike Gilbert1.   

Abstract

This paper presents a model of rate coding in the cerebellar cortex. The pathway of input to output of the cerebellum forms an anatomically repeating, functionally modular network, whose basic wiring is preserved across vertebrate taxa. Each network is bisected centrally by a functionally defined cell group, a microzone, which forms part of the cerebellar circuit. Input to a network may be from tens of thousands of concurrently active mossy fibres. The model claims to quantify the conversion of input rates into the code received by a microzone. Recoding on entry converts input rates into an internal code which is homogenised in the functional equivalent of an imaginary plane, occupied by the centrally positioned microzone. Homogenised means the code exists in any random sample of parallel fibre signals over a minimum number. The nature of the code and the regimented architecture of the cerebellar cortex mean that the threshold can be represented by space so that the threshold can be met by the physical dimensions of the Purkinje cell dendritic arbour and planar interneuron networks. As a result, the whole population of a microzone receives the same code. This is part of a mechanism which orchestrates functionally indivisible behaviour of the cerebellar circuit and is necessary for coordinated control of the output cells of the circuit. In this model, fine control of Purkinje cells is by input rates to the system and not by learning so that it is in conflict with the for-years-dominant supervised learning model.
© 2021. The Author(s).

Entities:  

Keywords:  Cerebellum; Learning; Memory; Parallel fibres; Purkinje cells; Theory

Year:  2021        PMID: 34902112     DOI: 10.1007/s12311-021-01352-6

Source DB:  PubMed          Journal:  Cerebellum        ISSN: 1473-4222            Impact factor:   3.847


  60 in total

1.  Optimal information storage and the distribution of synaptic weights: perceptron versus Purkinje cell.

Authors:  Nicolas Brunel; Vincent Hakim; Philippe Isope; Jean-Pierre Nadal; Boris Barbour
Journal:  Neuron       Date:  2004-09-02       Impact factor: 17.173

Review 2.  The cerebellar microcircuit as an adaptive filter: experimental and computational evidence.

Authors:  Paul Dean; John Porrill; Carl-Fredrik Ekerot; Henrik Jörntell
Journal:  Nat Rev Neurosci       Date:  2009-12-09       Impact factor: 34.870

3.  Micro-organization of olivocerebellar and corticonuclear connections of the paravermal cerebellum in the cat.

Authors:  M Garwicz; R Apps; J R Trott
Journal:  Eur J Neurosci       Date:  1996-12       Impact factor: 3.386

4.  Calcium Imaging Reveals Coordinated Simple Spike Pauses in Populations of Cerebellar Purkinje Cells.

Authors:  Jorge E Ramirez; Brandon M Stell
Journal:  Cell Rep       Date:  2016-12-20       Impact factor: 9.423

5.  Adaptive filter model of the cerebellum.

Authors:  M Fujita
Journal:  Biol Cybern       Date:  1982       Impact factor: 2.086

6.  Reliable coding emerges from coactivation of climbing fibers in microbands of cerebellar Purkinje neurons.

Authors:  Ilker Ozden; Megan R Sullivan; H Megan Lee; Samuel S-H Wang
Journal:  J Neurosci       Date:  2009-08-26       Impact factor: 6.167

7.  Role of Synchronous Activation of Cerebellar Purkinje Cell Ensembles in Multi-joint Movement Control.

Authors:  Tycho M Hoogland; Jornt R De Gruijl; Laurens Witter; Cathrin B Canto; Chris I De Zeeuw
Journal:  Curr Biol       Date:  2015-04-02       Impact factor: 10.834

8.  Encoding of action by the Purkinje cells of the cerebellum.

Authors:  David J Herzfeld; Yoshiko Kojima; Robijanto Soetedjo; Reza Shadmehr
Journal:  Nature       Date:  2015-10-15       Impact factor: 49.962

9.  Encoding of error and learning to correct that error by the Purkinje cells of the cerebellum.

Authors:  David J Herzfeld; Yoshiko Kojima; Robijanto Soetedjo; Reza Shadmehr
Journal:  Nat Neurosci       Date:  2018-04-16       Impact factor: 24.884

10.  Gating by Functionally Indivisible Cerebellar Circuits: a Hypothesis.

Authors:  Mike Gilbert; Chris Miall
Journal:  Cerebellum       Date:  2021-01-19       Impact factor: 3.847

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