Biologically Realistic Neural Networks and Adaptive Visual Information Processing

نویسندگان

  • Simei Gomes Wysoski
  • Lubica Benuskova
چکیده

This work aims to review the basic concepts of biologically realistic neural networks when applied to visual pattern recognition. A new simple model of biologically realistic visual pattern recognition that adaptively learns by example through synaptic plasticity and changes in structure is also presented. This system uses a spiking neural network composed of integrate-and-fire neurons and Hebbian-based learning. The event driven approach used in the implementation optimizes processing speed in order to simulate networks with large number of neurons.

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تاریخ انتشار 2006