Digit recognition in a simplified visual cortex model

Author

Cevikbas, I. Can ; Yildirim, T.

Author_Institution

Electron. & Commun. Eng. Dept., Yildiz Tech. Univ., İstanbul, Turkey

fYear

2013

fDate

19-21 June 2013

Firstpage

1

Lastpage

3

Abstract

In this paper a simplified visual cortex model is developed and application of the model to digit detection is explored. Retina and Lateral Geniculate Nucleus (LGN) is modeled as a combined 64×64 input cell array. An applied digit pattern produces Poisson spikes at the output of the combined retina-LGN cell array. Retina-LGN cells are connected to primary visual cortex (V1) cell network. Spike rate pattern of any digit applied to the input is used in digit detection.

Keywords

cellular arrays; character recognition; eye; image processing; neural nets; stochastic processes; visual perception; 64x64 input cell array; Poisson spikes; digit detection; digit pattern; digit recognition; lateral geniculate nucleus; primary visual cortex cell network; retina-LGN cells; simplified visual cortex model; Arrays; Brain modeling; Computational modeling; Mathematical model; Neurons; Retina; Visualization; digit recognition; primary visual cortex; spiking neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovations in Intelligent Systems and Applications (INISTA), 2013 IEEE International Symposium on

Conference_Location

Albena

Print_ISBN

978-1-4799-0659-8

Type

conf

DOI

10.1109/INISTA.2013.6577635

Filename

6577635