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

Conference Paper (2019)
Authors

Dante Gabriel 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
To reference this document use:
https://doi.org/10.1109/ISCAS.2019.8702387
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Publication Year
2019
Language
English
Affiliation
External organisation
ISBN (electronic)
9781728103976
DOI:
https://doi.org/10.1109/ISCAS.2019.8702387

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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