Single-trial detection of auditory cues from the rat brain using memristors

Caterina Sbandati, Spyros Stathopoulos, Patrick Foster, Noam D. Peer, Cristian Sestito, Alex Serb, Stefano Vassanelli, Dana Cohen, Themis Prodromakis

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article numbereadp7613
JournalScience advances
Volume10
Issue number36
DOIs
StatePublished - 6 Sep 2024

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