Title :
An algorithm for the AVLSI implementation of the cephalopod retina and visual system
Author :
Gopalan, A. ; Kulkarini, P. ; Titus, A.H.
Author_Institution :
Electr. Eng., Rochester Inst. of Technol., NY, USA
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
Keywords :
ART neural nets; VLSI; analogue integrated circuits; analogue simulation; biology computing; biomimetics; eye; vision; AVLSI implementation; analog VLSI focal-plane array; biomimetic systems; cephalopod retina; functional aspect; octopus; structural aspect; visual system; Artificial neural networks; Circuits; Hardware; Photoreceptors; Pigmentation; Resonance; Retina; Subspace constraints; Very large scale integration; Visual system;
Conference_Titel :
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7044-9
DOI :
10.1109/IJCNN.2001.939467
