TY - JOUR
T1 - Single-trial detection of auditory cues from the rat brain using memristors
AU - Sbandati, Caterina
AU - Stathopoulos, Spyros
AU - Foster, Patrick
AU - Peer, Noam D.
AU - Sestito, Cristian
AU - Serb, Alex
AU - Vassanelli, Stefano
AU - Cohen, Dana
AU - Prodromakis, Themis
N1 - Publisher Copyright:
Copyright © 2024 The Authors, some rights reserved
PY - 2024/9/6
Y1 - 2024/9/6
N2 - Implantable devices hold the potential to address conditions currently lacking effective treatments, such as drug-resistant neural impairments and prosthetic control. Medical devices need to be biologically compatible while providing enhanced performance metrics of low-power consumption, high accuracy, small size, and minimal latency to enable ongoing intervention in brain function. Here, we demonstrate a memristor-based processing system for single-trial detection of behaviorally meaningful brain signals within a timeframe that supports real-time closed-loop intervention. We record neural activity from the reward center of the brain, the ventral tegmental area, in rats trained to associate a musical tone with a reward, and we use the memristors built-in thresholding properties to detect nontrivial biomarkers in local field potentials. This approach yields consistent and accurate detection of biomarkers >98% while maintaining power consumption as low as 4.14 nanowatt per channel. The efficacy of our system’s capabilities to process real-time in vivo neural data paves the way for low-power chronic neural activity monitoring and biomedical implants.
AB - Implantable devices hold the potential to address conditions currently lacking effective treatments, such as drug-resistant neural impairments and prosthetic control. Medical devices need to be biologically compatible while providing enhanced performance metrics of low-power consumption, high accuracy, small size, and minimal latency to enable ongoing intervention in brain function. Here, we demonstrate a memristor-based processing system for single-trial detection of behaviorally meaningful brain signals within a timeframe that supports real-time closed-loop intervention. We record neural activity from the reward center of the brain, the ventral tegmental area, in rats trained to associate a musical tone with a reward, and we use the memristors built-in thresholding properties to detect nontrivial biomarkers in local field potentials. This approach yields consistent and accurate detection of biomarkers >98% while maintaining power consumption as low as 4.14 nanowatt per channel. The efficacy of our system’s capabilities to process real-time in vivo neural data paves the way for low-power chronic neural activity monitoring and biomedical implants.
UR - http://www.scopus.com/inward/record.url?scp=85203304897&partnerID=8YFLogxK
U2 - 10.1126/sciadv.adp7613
DO - 10.1126/sciadv.adp7613
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C2 - 39231225
AN - SCOPUS:85203304897
SN - 2375-2548
VL - 10
JO - Science advances
JF - Science advances
IS - 36
M1 - eadp7613
ER -