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

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 behaviourally meaningful brain signals within a time frame that supports real-time closed-loop intervention. We record neural activity from the reward centre of the brain, the ventral tegmental area, in rats trained to associate a musical tone with a reward and we utilize the memristors’ built-in thresholding properties to detect non-trivial biomarkers in Local Field Potentials. This approach yields consistent and accurate detection of biomarkers > 98% while maintaining power consumption as low as 4.14 𝑛𝑊/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.

植入式设备有望解决当前缺乏有效治疗手段的疾病，例如耐药性神经损伤和假体控制相关病症。医疗设备需具备生物相容性（biologically compatible），同时需满足低功耗、高精度、小型化及低延迟等增强性能指标，以支持对大脑功能的持续干预。在此，我们展示了一种基于忆阻器（memristor）的处理系统，可在支持实时闭环干预的时间范围内，对具有行为学意义的脑信号进行单次检测。我们记录了经过音乐音调-奖励关联训练的大鼠大脑奖赏中心——腹侧被盖区（ventral tegmental area）的神经活动，并利用忆阻器的内置阈值特性检测局部场电位（Local Field Potential）中的非平凡生物标志物。该方法对生物标志物的检测一致性及准确率超过98%，同时保持低至4.14纳瓦/通道的功耗。我们的系统具备实时处理在体神经数据（in-vivo neural data）的能力，其有效性为低功耗慢性神经活动监测及生物医学植入设备的发展铺平了道路。