Information Maximization Explains the Sparseness of Presynaptic Neural Response.
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.
Physics Department, Drew University, Madison, NJ 07940, U.S.A. mkouh@drew.edu.
Minjoon
M
Kouh
D000818:Animals; D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D016011:Normal Distribution; D017729:Presynaptic Terminals / Q000502:physiology*; D013569:Synapses / Q000502:physiology*