TY  - BOOK
AB  - 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.
DA  - 2013
DO  - 10.1109/ECCTD.2013.6662247
LA  - eng
PY  - 2013
TI  - A neuromorphic approach to auditory pattern recognition in cricket phonotaxis
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-26474304
Y2  - 2024-11-22T04:11:00
ER  -