2022
DOI: 10.1109/jssc.2022.3193846
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An Implantable Neuromorphic Sensing System Featuring Near-Sensor Computation and Send-on-Delta Transmission for Wireless Neural Sensing of Peripheral Nerves

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Cited by 38 publications
(24 citation statements)
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“…This approach essentially 'morphs' the initial sensory information processing stages of biological sensors/receptors into VLSI chips using a combination of efficient analog and digital circuitry to mimic their asynchronous spatio-temporal activity. A neuromorphic event-driven neural recording approach was first proposed in [34] for iBMI and more recently implemented in [35]- [37]. The neuromorphic approach can also provide benefits of digital multiplexing due to integration with address event representation (AER) circuits and digitizing/communicating data only during spikes by virtue of in-pixel thresholding.…”
Section: E Neuromorphic Compressionmentioning
confidence: 99%
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“…This approach essentially 'morphs' the initial sensory information processing stages of biological sensors/receptors into VLSI chips using a combination of efficient analog and digital circuitry to mimic their asynchronous spatio-temporal activity. A neuromorphic event-driven neural recording approach was first proposed in [34] for iBMI and more recently implemented in [35]- [37]. The neuromorphic approach can also provide benefits of digital multiplexing due to integration with address event representation (AER) circuits and digitizing/communicating data only during spikes by virtue of in-pixel thresholding.…”
Section: E Neuromorphic Compressionmentioning
confidence: 99%
“…The AER-based handling of events could potentially address the shortcomings of data loss due to collisions in SPDWOR configuration. Works in [20], [35], [37] introduce a pipeline involving spike train generation using an analog-to-spike conversion block on-chip decoding using a spiking neural network, which limits its usability to specific tasks. While [35] uses a round-robin arbitration based AER scheme, [20], [37] does not have a collision handling strategy that could scale with the size of the neural electrode.…”
Section: E Neuromorphic Compressionmentioning
confidence: 99%
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