A Wireless Sensor-Brain Interface System for Tracking and Guiding Animal Behaviors Through Closed-Loop Neuromodulation in Water Mazes

作者：Yuhan Hou, Yi Zhu, Xing Ji, Andrew G. Richardson, Xilin Liu · 发表于：IEEE Journal of Solid-State Circuits · 年份：2024 · DOI：10.1109/jssc.2024.3355809 · 被引用次数：10 · 研究领域：Neuroscience and Neural Engineering、Advanced Memory and Neural Computing、Wireless Power Transfer Systems

This article presents a wireless sensor-brain interface (SBI) system designed for closed-loop neuromodulation in freely behaving animals. The system enables a novel experiment in which swimming rats navigate a water maze guided exclusively by neural stimulation. The system consists of two wirelessly linked application-specific integrated circuits (ASICs): a bidirectional neural interface and an animal-tracking image sensor. The neural interface ASIC features a novel stimulator design with adaptive termination-based charge-balancing and an energy-efficient neural recording front end that rejects stimulation artifacts. The animal-tracking image sensor extracts the swimming features of rats and maps them into stimulation parameters with hardware acceleration. Low-power ultra-wideband transceivers with a custom protocol have been developed to ensure reliable wireless communication between devices with a short latency, which is critical to closed-loop neuromodulation. Wireless power transfer and near-field data communication have been developed to allow a part of the neural interface to be implanted beneath the skin, eliminating the need for through-skin connectors. Both ASICs were fabricated using 180-nm CMOS technology, fully characterized on the bench, and have been successfully used in animal experiments. Through rigorous testing, the system demonstrated consistent success in guiding multiple rats through the water maze using only stimulation. This work advances closed-loop ne...