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Presenter(s)
Display Name
Germain Haessig
- Affiliation
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AffiliationUniversity of Zürich and ETH Zürich
- Country
Abstract
In this paper, we combine recent progress in neuro-morphic computation and neuromorphic mixed-signal hardwareto present the first step towards an implementation of a neu-romorphic spike sorting algorithm, that has been proven ableto extract and decode spikes, in real time. This implementationis based on TSMC 180nm technology. Combined with a neu-ral recording system, we anticipate this approach to leverageefficient neuromorphic brain-machine interfaces for embeddedrehabilitation prosthetic control