A VLSI implementation of a neuromorphic network for scene segmentation

Author

Cosp, Jordi ; Madrenas, Jordi ; Cabestany, Joan

Author_Institution

Dept. of Electron. Eng., Univ. Poltecnica de Catalunya, Spain

fYear

1999

fDate

1999

Firstpage

403

Lastpage

408

Abstract

A VLSI implementation of a network of locally coupled oscillators for scene segmentation is presented. The circuit is based on LEGION (locally excitatory, globally inhibitory, oscillator network) algorithm and significant simplifications were made in order to reduce the silicon area overhead. We present the circuits for an analog VLSI implementation of the algorithm in a reduced area. The ability of the proposed implementation to segmentate simple images using oscillatory correlation is shown

Keywords

VLSI; analogue processing circuits; image segmentation; neural chips; LEGION; VLSI implementation; analog VLSI implementation; globally inhibitory network; image segmentation; locally coupled oscillators; locally excitatory network; neuromorphic network; oscillatory correlation; scene segmentation; silicon area overhead; Acoustic noise; Animals; Electrical capacitance tomography; Humans; Image segmentation; Inhibitors; Layout; Local oscillators; Neuromorphics; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Microelectronics for Neural, Fuzzy and Bio-Inspired Systems, 1999. MicroNeuro '99. Proceedings of the Seventh International Conference on

Conference_Location

Granada

Print_ISBN

0-7695-0043-9

Type

conf

DOI

10.1109/MN.1999.758893

Filename

758893