An event-based data compressive telemetry for high-bandwidth intracortical brain-computer interfaces
Understanding brain activity requires large-scale electrophysiology recording with a single-cell resolution. Over the past decades, the number of electrodes allowed for simultaneous recording doubled approximately every 7 years. Large data from high-density electrodes stress every part of the recording system, including data transmission, storage, and processing, and demands high power. Developing an energy-efficient method to compress the data with minimal distortion is necessary.Spikes are the sparse information carrier in the neural network. The proposed method, focused on spikes, consists