Publication:
Digit Recognition in a Simplified Visual Cortex Model

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2013

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IEEE

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Proceedings Paper

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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 64x64 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.

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2013 IEEE INTERNATIONAL SYMPOSIUM ON INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS (IEEE INISTA)

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978-1-4799-0661-1; 978-1-4799-0659-8

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spiking neural network , digit recognition , primary visual cortex , ORIENTATION SELECTIVITY , COMPUTATION , CAT , Computer Science , Engineering

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https://hdl.handle.net/20.500.14981/52786

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