Neural Recording with Auto Noise Calibration to Reduce Multichannel Variation
Abstract
Recording neural signals and transmitting measurement data wirelessly is crucial for implementing closed-loop neural stimulation systems. This work achieves a dynamic range of over 90 dB by employing delta-sigma and auto-ranging structures in an integrated circuit (IC) chip. Traditional wireless data transmission methods such as Bluetooth, inductive coil, and RF communication pose challenges including large spatial requirements, movement restrictions, and low data transmission rates relative to power consumption. To address these limitations, this research adopts optical communication techniques for wireless data transmission from freely moving multiple experimental animals. Additionally, noise calibration logic is designed to reduce channel mismatches. The IC chip, fabricated in a standard 65nm CMOS process, has a size of 1 mm² and consists of 8 channels.
