Abstract
Neural signal recordings have been an essential tool for understanding the brain and driving the progress in neuroscience research and therapy. The local field potential (LFP) signals, which span from 3Hz to about 200Hz, serve as indicators of various neurological behaviors and disorders. Prior integrated LFP recording front-ends are designed for a small-signal input of a few mV, limiting the dynamic range to <60 dB [1–3]. For closed-loop neuromodulation, featuring simultaneous neural recording and stimulation, it is important to observe and understand brain dynamics during stimulation. Stimulation artifacts can range between 10 and 100mV and last for several milliseconds. The stimulation patterns result in significant artifact power inside the LFP band that cannot be filtered using conventional techniques. To adaptively reject stimulation artifacts in the digital domain, it is desired to capture the neural signal combined with the artifact with a high linearity. This requirement pushes the front-end dynamic range requirement to about 80dB for ±50mV input range, 20dB beyond the capabilities of current integrated recording front-ends.
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