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Information Maximization Explains the Sparseness of Presynaptic Neural Response
1Physics Department, Drew University, Madison, NJ 07940, U.S.A. mkouh@drew.edu.
Abstract:
In a sensory neural network, where a population of presynaptic neurons sends information to a downstream neuron, maximizing information transmission depends on utilizing the full operating range of the output of the postsynaptic neuron. Because the convergence of presynaptic inputs naturally biases higher outputs, a sparse input distribution would counter such bias and optimize information transmission.
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