Novel impulse neural circuits for pulsed neural network

Author

Shin, Jong-Han

Author_Institution

Dept. of Res., Electron. & Telecommun. Res. Inst., Daejeon, South Korea

Volume

3

fYear

1993

fDate

25-29 Oct. 1993

Firstpage

3017

Abstract

Two novel neural circuits based on stochastic pulse coding (SPC) and noise feedback pulse coding (NFPC) are presented. The artificial axon hillock circuits to realize these codings are compared with respect to the coding efficiency. The axon hillock circuit using NFPC needs much less number of pulses than that using SPC to convert analog neuron body voltage into a pulse sequence under the same signal to noise ratio. This result suggests that the NFPC neural circuit can improve the speed of computation and communication, compared with the SPC neural circuit. Simulation and experimental results are included.

Keywords

MOS integrated circuits; circuit feedback; encoding; mixed analogue-digital integrated circuits; neural nets; probabilistic logic; pulse circuits; analog neuron voltage; axon hillock circuits; impulse neural circuits; noise feedback pulse coding; pulse sequence; pulsed neural network; stochastic pulse coding; Artificial neural networks; Circuit noise; Feedback circuits; Nerve fibers; Neural networks; Neurofeedback; Neurons; Pulse circuits; Stochastic resonance; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on

Print_ISBN

0-7803-1421-2

Type

conf

DOI

10.1109/IJCNN.1993.714356

Filename

714356