An analog VLSI integrate-and-fire neural network for sound segmentation

Citation

Glover MA, Hamilton A & Smith L (1998) An analog VLSI integrate-and-fire neural network for sound segmentation. The International ICSC/IFAC Symposium on Neural Computation (NC'98), Vienna, Austria, 23.09.1998-25.09.1998. http://www.cs.stir.ac.uk/~lss/oldftpmaterial/nc98_paper.pdf

Abstract
This paper presents a cascadable aVLSI integrate-and-fire neural network chip (SPIKE I) capable of realistic biological time constants incorporated into a real time software based sound segmentation system with results. The sound segmentation system is based on an engineering abstraction of the functionality of the cochlea and auditory nerve. A comparison of the software simulation and software/hardware combination results indicates that clustering does occur. Furthermore the patterns of onsets and offsets generated are broadly similar. Analysis of the results indicates area's for improvement. These have been included in a second integrate-and-fire neural network chip (SPIKE II) presently being fabricated.

People

Professor Leslie Smith

Emeritus Professor, Computing Science