Neural Coding Model for Fast and Significant Perceptual in the Pigeon Optic Tectum

doi:10.16182/j.issn1004731x.joss.201811006

Abstract

Abstract: In the classical target recognition theory, many neurons in the mammalian retina and LGN perform DoG operations. Their functions are generally considered to be whitening, eliminating redundancy, and enhancing edges. Where is the redundant information? In this paper, the electrophysiological study of the ON-OFF neurons of the dove optic roof was performed. It was found that the FSL was used to carry out the rough and fast transfer of the whole scene information, and then the salient features in the scene were successively transmitted using the issue rate. For this reason, by analyzing the response pattern of neurons, this paper proposes an assumption of the ON-OFF neuron working mechanism of OT (Optic Tectum) and builds a model architecture. This research has certain reference significance for the research of the new Spike neural network.

Key words: optic tectum, significant characterization, spike neural network, delayed encoding

CLC Number:

Q424

Wang Songwei, Huang Shuman, Shi Li, Wang Mengke. Neural Coding Model for Fast and Significant Perceptual in the Pigeon Optic Tectum[J]. Journal of System Simulation, 2018, 30(11): 4086-4099.

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