A neuromorphic approach to auditory pattern recognition in cricket phonotaxis

T. Rost, H. Ramachandran, M. P. Nawrot, E. Chicca

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

7 Citations (Scopus)

Abstract

Developing neuromorphic computing paradigms that mimic nervous system function is an emerging field of research with high potential for technical applications. In the present study we take inspiration from the cricket auditory system and propose a biologically plausible neural network architecture that can explain how acoustic pattern recognition is achieved in the cricket central brain. Our circuit model combines two key features of neural processing dynamics: Spike Frequency Adaptation (SFA) and synaptic short term plasticity. We developed and extensively tested the model function in software simulations. Furthermore, the feasibility of an analogue VLSI implementation is demonstrated using a multi-neuron chip comprising Integrate-and-Fire (IF) neurons and adaptive synapses.
Original languageEnglish
Title of host publication2013 European Conference on Circuit Theory and Design (ECCTD)
PublisherIEEE
Number of pages4
DOIs
Publication statusPublished - 2013
Externally publishedYes

Cite this