A bioinspired recursive analog VLSI network for 3D spatiotemporal receptive fields

Author

Ip, Henry M D ; Drakakis, Emmanuel M. ; Bharath, Anil A.

Author_Institution

Dept. of Bioeng., Imperial Coll., London

fYear

2006

fDate

Nov. 29 2006-Dec. 1 2006

Firstpage

134

Lastpage

137

Abstract

This work presents the use of a two-layered recursive network to produce biomimetic visual spatiotemporal bandpass receptive fields. Simulation results of the transistor network based on an array of spatially coupled polyphase Gm-C filters are also included. Our bioinspired approach captures the essence of efficient processing in recursive cortical networks and at the same time backed by the vigorous analytical tools found in cellular neural network theory within the CAS community.

Keywords

VLSI; cellular neural nets; filters; 3D spatiotemporal receptive fields; bioinspired recursive analog VLSI network; biomimetic visual spatiotemporal bandpass receptive fields; cellular neural network theory; recursive cortical networks; transistor networks; two-layered recursive network; Array signal processing; Band pass filters; Biomimetics; Cellular neural networks; Content addressable storage; Filter bank; Spatiotemporal phenomena; Transfer functions; Very large scale integration; Voltage control; Bioinspired Signal Processing; Cellular Neural Networks; Recursive nonseparable 3D Spatiotemporal Filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Circuits and Systems Conference, 2006. BioCAS 2006. IEEE

Conference_Location

London

Print_ISBN

978-1-4244-0436-0

Electronic_ISBN

978-1-4244-0437-7

Type

conf

DOI

10.1109/BIOCAS.2006.4600326

Filename

4600326