Journal Article

·2013

Digit recognition in a simplified visual cortex model

I. Can Cevikbas YTU , Tülay Yıldırım YTU

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

Lateral geniculate nucleus Visual cortex Numerical digit Retina Receptive field Computer science Neuroscience Cortex (anatomy) Visual system Artificial intelligence Biology Mathematics Arithmetic

Subject Areas

Advanced Memory and Neural Computing ·Electrical and Electronic Engineering ·Physical Sciences
Neural dynamics and brain function ·Cognitive Neuroscience ·Life Sciences
Neural Networks and Reservoir Computing ·Artificial Intelligence ·Physical Sciences

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