This paper presents a mixed-signal neural spike recording channel which features, as an added value, a simple and low-power data compression mechanism. The channel uses a band-limited differential low noise amplifier and a binary search data converter, together with other digital and analog blocks for control, programming and spike characterization. The channel offers a self-calibration operation mode and it can be configured both for signal tracking (to raw digitize the acquired neural waveform) and feature extraction (to build a first-order PWL approximation of the spikes). The prototype has been fabricated in a standard CMOS 0.13µm and occupies 400µm×400µm. The overall power consumption of the channel during signal tracking is 2.8µW and increases to 3.0µW average when the feature extraction operation mode is programmed.
['Alberto Rodriguez-Perez', 'Jesús Ruiz-Amaya', 'José Antonio Rodríguez-Rodríguez', 'Manuel Delgado-Restituto', 'A. Rodriguez-Vazquez']
A power efficient neural spike recording channel with data bandwidth reduction