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A Single-spike Model of Predictive Coding |
@Article{,
author = {Dana H. Ballard and Rajesh P.N. Rao and Zuohua Zhang},
title = {A Single-spike Model of Predictive Coding},
journal = {Journal of Neurocomputing},
year = {2000},
volume = {32-33},
number = {(1-4)},
pages = {17-23},
abstract = {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.}
}