Rank order decoding of temporal parallel fibre input patterns in a complex Purkinje cell model

The processing speed of many neuronal systems requires temporal coding. Recently, a temporal rank order code has been suggested that uses the temporal order of spikes, disregarding their precise timing. A rank order-coded spike pattern can be decoded by an array of synaptic weights and a postsynapti...

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Bibliographic Details
Published in:Neurocomputing (Amsterdam) Vol. 44; pp. 183 - 188
Main Authors: Steuber, Volker, De Schutter, Erik
Format: Journal Article
Language:English
Published: Elsevier B.V 01.06.2002
Subjects:
Cerebellum
Pattern recognition
Purkinje cells
Temporal coding
Cerebellum
Pattern recognition
Purkinje cells
Temporal coding
ISSN:0925-2312, 1872-8286
Online Access:Get full text
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Summary:The processing speed of many neuronal systems requires temporal coding. Recently, a temporal rank order code has been suggested that uses the temporal order of spikes, disregarding their precise timing. A rank order-coded spike pattern can be decoded by an array of synaptic weights and a postsynaptic desensitization process. We show that a multi-compartmental model of a cerebellar Purkinje cell can implement rank order decoding of temporal parallel fibre input patterns. Basis of the temporal decoding is the activation of K Ca channels in the Purkinje cell dendrites. The model responds preferentially to spatio-temporal patterns which are ordered according to increasing synaptic strengths.
ISSN:0925-2312
1872-8286
DOI:10.1016/S0925-2312(02)00388-0