Logo image
VLSI Implementation of An Olfactory Spiking Neural Network with Sub-threshold Oscillation and Inhibition
Conference paper

VLSI Implementation of An Olfactory Spiking Neural Network with Sub-threshold Oscillation and Inhibition

Hung-Yi Hsieh and Kea-Tiong Tang
International Symposium on Olfaction and Electronic Nose (ISOEN 2011), Vol.1362(1), p.275
2011

Abstract

integrated circuits;chemioception;neural nets;electrical conductivity;oscillators
This paper proposes a VLSI circuit implementing a low power, high‐resolution spiking neural network (SNN) with STDP synapses, inspired by mammalian olfactory systems. By representing mitral cell action potential by a step function, the power consumption and the chip area can be reduced. By cooperating sub‐threshold oscillation and inhibition, the network outputs can be distinct. This circuit was fabricated using the TSMC 0.18 μm 1P6M CMOS process. Post‐layout simulation results are reported.

Metrics

1 Record Views

Details

Logo image