DocumentCode :
2225821
Title :
Current mode elementary motion perception neural cell
Author :
Shutinoski, Goce V. ; Dzhekov, Tomislav A. ; Litovski, Vancho B.
Author_Institution :
Fac. of Electr. Eng., SS. Cyril & Methodius Univ., Skopje, Macedonia
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
157
Abstract :
The paper proposes biologically inspired NN architecture that employs neural correlation of motion detection via a two-channel mechanism similar to the visual system of invertebrates that is capable of detecting the direction of motion. The correlation-based scheme with mutual lateral inhibition is adopted to implement current mode VLSI neuromorphic cells with the dynamics characterized by a first order nonlinear differential equation. Such cells act as elementary motion detectors (EMDs) sensitive to the direction of motion and can be implemented as a front-end section of a sophisticated object tracking system. Spatio-temporal responses of the VLSI model are investigated and simulation results are given
Keywords :
CMOS analogue integrated circuits; VLSI; analogue processing circuits; current-mode circuits; image processing equipment; mobile robots; motion estimation; neural chips; neural net architecture; robot vision; tracking; ANN architecture; CMOS technology; VLSI model; correlation-based scheme; current mode VLSI neuromorphic cells; first order nonlinear differential equation; mobile robots; motion detection; mutual lateral inhibition; neural correlation; object tracking system; perception neural cell; spatio-temporal responses; two-channel mechanism; Detectors; Differential equations; Motion detection; Neural networks; Neuromorphics; Nonlinear dynamical systems; Object detection; Tracking; Very large scale integration; Visual system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location :
Geneva
Print_ISBN :
0-7803-5482-6
Type :
conf
DOI :
10.1109/ISCAS.2000.856020
Filename :
856020
Link To Document :
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