Analog VLSI implementation of a visual interneuron: enhanced sensory processing through biophysical modeling

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Publication Type Journal Article
School or College College of Engineering
Department Electrical & Computer Engineering
Creator Harrison, Reid R.
Other Author Koch, C.
Title Analog VLSI implementation of a visual interneuron: enhanced sensory processing through biophysical modeling
Date 1999-01-01
Description 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-fi_x000C_eld motion-sensitive neuron responses with increasing pattern size. This makes the cell's responses less dependent on the sparseness of the optical ow fi_x000C_eld 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.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Journal Title Proceedings of the Second European Workshop on Neuromorphic Systems
Language eng
Bibliographic Citation Harrison, R. R., & Koch, C. (1999). Analog VLSI implementation of a visual interneuron: enhanced sensory processing through biophysical modeling. Proceedings of the Second European Workshop on Neuromorphic Systems.
Rights Management (c)1999 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Format Medium application/pdf
Format Extent 188,820 bytes
Identifier ir-main,13987
ARK ark:/87278/s67h2336
Setname ir_uspace
Date Created 2012-06-13
Date Modified 2021-05-06
ID 705895
Reference URL https://collections.lib.utah.edu/ark:/87278/s67h2336
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