Abstract
The paper proposes neural network architecture that can be implemented in sofisticated object tracking system. It employs neural correlation of motion detection via two channels mechanism similar to the visual system of invertebrates. The correlation based scheme with mutual lateral inhibition is adopted to implement VLSI neuromorphic cells with the dynamics characterized by first order nonlinear differential equation. Combining these cells in suitable manner in an 2-D array it is possible to provide simple mechanism to achieve direction sensitive elementary motion detectors. Both spatial and temporal adaptation responses of the VLSI model are investigated and simulation results are presented.
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