Title :
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
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;
Conference_Titel :
Innovations in Intelligent Systems and Applications (INISTA), 2013 IEEE International Symposium on
Conference_Location :
Albena
Print_ISBN :
978-1-4799-0659-8
DOI :
10.1109/INISTA.2013.6577635
