- Conference Paper
The fundamental advantage of neuromorphic systems is their low power consumption, which emerges from their event-based computation implemented via spikes. However, we do not have a theory that explores the fundamental limits of the energy consumption that a neuromorphic system can achieve. In this work we present an approach to find those limitations using a mixture of principles from information theory and combinatorial techniques. We obtain a systematic way of finding the number of neurons and spikes per time unit that allow a required representational capacity. Show more
Book titleProceedings of the 2022 Annual Neuro-Inspired Computational Elements Conference
Journal / seriesACM International Conference Proceeding Series
Pages / Article No.
PublisherAssociation for Computing Machinery
SubjectEnergy Efficiency; Neural Codes
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