Electrical stimulus artifact cancellation and neural spike detection on large multi-electrode arrays.

ABSTRACT: Simultaneous electrical stimulation and recording using multi-electrode arrays can provide a valuable technique for studying circuit connectivity and engineering neural interfaces. However, interpreting these measurements is challenging because the spike sorting process (identifying and segregating action potentials arising from different neurons) is greatly complicated by electrical stimulation artifacts across the array, which can exhibit complex and nonlinear waveforms, and overlap temporarily with evoked spikes. Here we develop a scalable algorithm based on a structured Gaussian Process model to estimate the artifact and identify evoked spikes. The effectiveness of our methods is demonstrated in both real and simulated 512-electrode recordings in the peripheral primate retina with sing

SUBMITTER: Mena GE 

PROVIDER: S-EPMC5703587 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature