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A model for visual selective attention by two-layered neural network with FitzHugh-Nagumo neurons

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3 Author(s)
Katayama, K. ; Res. Inst. of Electr. Commun., Tohoku Univ., Sendai, Japan ; Yano, M. ; Horiguchi, T.

We propose a mathematical model of visual selective attention using a two-layered neural network with spiking neurons described by FitzHugh-Nagumo equation, based on an assumption proposed by Desimone and Duncan. The neural network consists of a layer of hippocampal formation and that of visual cortex. We solve by numerical calculations a set of first-order ordinary differential equations, which describe a time-evolution of each neuron, in order to clarify an attention state, a non-attention state and an attention shift. We find that synchronous phenomena occur not only for a frequency but also for a firing time between the neurons in the hippocampal formation and those in a part of the visual cortex. The visual selective attention is considered as the synchronous phenomena between the firing times of the neurons in the hippocampal formation and those in a part of the visual cortex in the present model.

Published in:

Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on  (Volume:3 )

Date of Conference:

18-22 Nov. 2002