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An analog VLSI implementation of a visual interneuron: enhanced sensory processing through biophysical modeling.

Authors
  • Harrison, R R
  • Koch, C
Type
Published Article
Journal
International journal of neural systems
Publication Date
Oct 01, 1999
Volume
9
Issue
5
Pages
391–395
Identifiers
PMID: 10630467
Source
Medline
License
Unknown

Abstract

Flies are capable of rapid, coordinated flight through unstructured environments. This flight is guided by visual motion information that is extracted from photoreceptors in a robust manner. One feature of the fly's visual processing that adds to this robustness is the saturation of wide-field motion-sensitive neuron responses with increasing pattern size. This makes the cell's responses less dependent on the sparseness of the optical flow field while retaining motion information. By implementing a compartmental neuronal model in silicon, we add this "gain control" to an existing analog VLSI model of fly vision. This results in enhanced performance in a compact, low-power CMOS motion sensor. Our silicon system also demonstrates that modern, biophysically-detailed models of neural sensory processing systems can be instantiated in VLSI hardware.

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