A single-spike model of predictive coding

The standard cortical model assumes that the meaning of a neuron's signal is contained in its firing rate. While that model has been used to interpret a voluminous amount of experimental data, it does not address the question of timing, or how recipient neurons can decode this signal in time to...

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Bibliographic Details
Published in:Neurocomputing (Amsterdam) 2000-06, Vol.32, p.17-23
Main Authors: Ballard, Dana H., Rao, Rajesh P.N., Zhang, Zuohua
Format: Article
Language:English
Subjects:
Decoding
Neural coding model
Parallel processing systems
Physiological models
Predictive coding
Signal encoding
Synchronous firing
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Summary:The standard cortical model assumes that the meaning of a neuron's signal is contained in its firing rate. While that model has been used to interpret a voluminous amount of experimental data, it does not address the question of timing, or how recipient neurons can decode this signal in time to predict behavioral results. We propose a model based on coincident firing of large groups of neurons. We show using an example of predictive coding, how the cortex can support vast amounts of non-interfering parallel computation.
ISSN:0925-2312
1872-8286
DOI:10.1016/S0925-2312(00)00139-9