Inter-Neuron Communications for Large-Scale Neural Networks using Capacitive Coupling

F Tuffy, LJ McDaid, VW Kwan, J Alderman, TM McGinnity, PM Kelly, JA Santos

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


A novel inter-neuron communications method for increased scalability of Spiking Neural Networks (SNNs) is presented. Capacitive coupling is used as the communication medium with spike functions replaced by oscillatory bursts. The dependency of the coupling signals between neuron layers as a function of neuron density, frequency and track loading is predicted. High Q decoding filters and accurate frequency matching between transmitting neurons and receiving synapses was achieved using band pass filters. Micro-ElectroMechanical Systems (MEMS) were used in the filter circuits and burst oscillators because of their high Q values. The method of fabricating the on-chip coupling capacitors and associated oscillator/filter circuits is discussed.
Original languageEnglish
Title of host publicationUnknown Host Publication
Number of pages6
Publication statusPublished - 2006
EventIEEE International Joint Conference on Neural Networks - Vacouver, Canada
Duration: 1 Jan 2006 → …


ConferenceIEEE International Joint Conference on Neural Networks
Period1/01/06 → …

Bibliographical note

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