Computing conditional probabilities in a minimal CA3 pyramidal neuron

Ashlie B. Hocking

doi:10.1016/j.neucom.2004.10.022

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Computing conditional probabilities in a minimal CA3 pyramidal neuron

2005-06-01

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Ashlie B. Hocking

William B. Levy

DOI：10.1016/j.neucom.2004.10.022

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Abstract

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The function of the CA3 region of the hippocampus can be explained in terms of a sequence predicting recoder. For the CA3 to act as a neural prediction device, each CA3 neuron must also act as a predictor. Thus, such neurons, as prediction devices, compute something that might approximate a conditional probability. In particular, we conjecture that each neuron forecasts its own firing. Here we compare a simple-neural network model, based on synaptic encoding of local conditional probabilities to an even simpler model of hippocampal region CA3 that succeeds on a variety of hippocampally dependent learning tasks. (c) 2004 Elsevier B.V. All rights reserved.

Keywords:

hippocampus

McCulloch-Pitts

conditional probability

forecasting

CA3

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