An algorithm for the AVLSI implementation of the cephalopod retina and visual system

A. Gopalan; P. Kulkarini; A. H. Titus

An algorithm for the AVLSI implementation of the cephalopod retina and visual system

A. Gopalan
, P. Kulkarini
, A. H. Titus

Department of Biomedical Engineering

Rochester Institute of Technology

Research output: Contribution to conference › Paper › peer-review

2 Scopus citations

Abstract

Biological systems provide a wealth of information from which artificial systems can be derived; this is the foundation of biomimetic systems. This paper describes the development of an algorithm for analog VLSI implementation of a visual system that derives from the structural and functional aspects of the cephalopod visual system. By creating an analog VLSI focal-plane array, we can mimic the retina structure that produces particular abilities in the octopus.

Original language	English
Pages	832-836
Number of pages	5
State	Published - 2001
Event	International Joint Conference on Neural Networks (IJCNN'01) - Washington, DC, United States Duration: Jul 15 2001 → Jul 19 2001

Conference

Conference	International Joint Conference on Neural Networks (IJCNN'01)
Country/Territory	United States
City	Washington, DC
Period	07/15/01 → 07/19/01

Cite this

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title = "An algorithm for the AVLSI implementation of the cephalopod retina and visual system",

abstract = "Biological systems provide a wealth of information from which artificial systems can be derived; this is the foundation of biomimetic systems. This paper describes the development of an algorithm for analog VLSI implementation of a visual system that derives from the structural and functional aspects of the cephalopod visual system. By creating an analog VLSI focal-plane array, we can mimic the retina structure that produces particular abilities in the octopus.",

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AU - Gopalan, A.

AU - Kulkarini, P.

AU - Titus, A. H.

PY - 2001

Y1 - 2001

N2 - Biological systems provide a wealth of information from which artificial systems can be derived; this is the foundation of biomimetic systems. This paper describes the development of an algorithm for analog VLSI implementation of a visual system that derives from the structural and functional aspects of the cephalopod visual system. By creating an analog VLSI focal-plane array, we can mimic the retina structure that produces particular abilities in the octopus.

AB - Biological systems provide a wealth of information from which artificial systems can be derived; this is the foundation of biomimetic systems. This paper describes the development of an algorithm for analog VLSI implementation of a visual system that derives from the structural and functional aspects of the cephalopod visual system. By creating an analog VLSI focal-plane array, we can mimic the retina structure that produces particular abilities in the octopus.

UR - https://www.scopus.com/pages/publications/0034870861

M3 - Paper

AN - SCOPUS:0034870861

SP - 832

EP - 836

T2 - International Joint Conference on Neural Networks (IJCNN'01)

Y2 - 15 July 2001 through 19 July 2001

ER -

An algorithm for the AVLSI implementation of the cephalopod retina and visual system

Abstract

Conference

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