DocumentCode :
2664280
Title :
A wide-dynamic-range programmable synapse for impulse neural networks
Author :
Chintrakulchai, Pichet ; Nintunze, Novat ; Wu, Angus ; Meador, Jack
Author_Institution :
Dept. of Electr. & Comput. Eng., Washington State Univ., Pullman, WA, USA
fYear :
1990
fDate :
1-3 May 1990
Firstpage :
2975
Abstract :
A fully-analog synapse circuit for impulse neural networks is described. The circuit is programmable over a dynamic range of several orders of magnitude. It is essentially a programmable switched-circuit source which incrementally contributes to the excitation of an impulse neuron. Shared-floating-gate FETs are used to implement a programmable current mirror exhibiting a nonvolatile storage characteristic. The synapse connection strength is modulated by incrementally adding or removing charge on the shared floating gate. A wide dynamic range is achieved through biasing the circuit to operate in the subthreshold region
Keywords :
analogue circuits; field effect transistor circuits; neural nets; FETs; biasing; fully-analog synapse circuit; impulse neural networks; impulse neuron; nonvolatile storage characteristic; programmable current mirror; programmable switched-circuit source; shared floating gate; subthreshold region; synapse connection strength; wide-dynamic-range programmable synapse; Capacitance; Circuit testing; Dynamic range; FETs; Lifting equipment; Neural networks; Neurons; Nonvolatile memory; Threshold voltage; Tunneling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
Type :
conf
DOI :
10.1109/ISCAS.1990.112635
Filename :
112635
Link To Document :
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