A data-compressive wired-or readout for massively parallel neural recording

Conference Paper (2019)
Author(s)

Dante G. Muratore (Stanford University, TU Delft - Bio-Electronics)

Pulkit Tandon (Stanford University)

Mary Wootters (Stanford University)

E. J. Chichilnisky (Stanford University)

Subhasish Mitra (Stanford University)

Boris Murmann (Stanford University)

Affiliation
External organisation
DOI related publication
https://doi.org/10.1109/ISCAS.2019.8702387
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Publication Year
2019
Language
English
Affiliation
External organisation
ISBN (electronic)
9781728103976

Abstract

This paper describes an architecture for the massively parallel digitization of neural action potentials. The scheme achieves simultaneous data compression and channel multiplexing through wired-OR interactions within an array of single-slope A/D converters. The achieved compression is lossy but effective at retaining the critical samples belonging to action potential spikes. Simulation results using ex-vivo experimental data from a 512-channel array show compression rates up to ∼73x while maintaining ≥90% reconstruction coverage for parasol cells in the primate retina.

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