DocumentCode :
288624
Title :
Programmable dynamics in an analog VLSI neuromorph
Author :
Elias, John G. ; Northmore, David P M
Author_Institution :
Electr. Eng. & Neurosci. Program, Delaware Univ., Newark, DE, USA
Volume :
4
fYear :
1994
fDate :
27 Jun-2 Jul 1994
Firstpage :
2028
Abstract :
The architecture of an analog VLSI neuromorph which can receive and process large numbers of pulsatile inputs via a spatially extensive artificial dendritic tree is described. The artificial dendritic tree is a hybrid VLSI circuit which has distributed over its length synapses of three types: hyperpolarizing, depolarizing, and shunting. Because of the distributed nature of the circuit and its natural dynamics, input signals are segregated both spatially and temporally. In addition, neuromorph dynamics is programmable over a wide range which permits one to match neuromorph dynamical response with application dynamics. Experimental results are presented that show “membrane” response of a directionally selective neuromorph preserved over four orders of magnitude in target speed as neuromorph dynamics is correspondingly changed
Keywords :
VLSI; analogue processing circuits; neural chips; analog VLSI neuromorph; depolarizing; hybrid VLSI circuit; hyperpolarizing; neuromorph dynamics; programmable dynamics; pulsatile inputs; shunting; spatially extensive artificial dendritic tree; Biomembranes; Capacitance; Circuits; Delay; MOS capacitors; Neuroscience; Resistors; Silicon; Very large scale integration; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
Type :
conf
DOI :
10.1109/ICNN.1994.374525
Filename :
374525
Link To Document :
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