title: An 8-channel neural spike processing IC with unsupervised closed-loop control based on spiking probability estimation.
abstract: This paper presents a neural spike processing IC for simultaneous spike detection, alignment, and transmission on 8 recording channels with unsupervised closed-loop control. In this work, spikes are detected according to online estimated spiking probability maps, which reliably predict the possibility of spike occurrence. The closed-loop control has been made possible by estimating firing rates based on alignment results and turning on/off channels individually and automatically. The 8-channel neural spike processing IC, implemented in a 0.13 μm CMOS process, has a varied power dissipation from 36 μW to 54.4 μW per channel at a voltage supply of 1.2 V. The chip also achieves a 380× data rate reduction for the testing in vivo data, allowing easy integration with wireless data transmission modules.
authors.forename: Tong
authors.initials: T
authors.lastname: Wu
authors.forename: Zhi
authors.initials: Z
authors.lastname: Yang
mesh_terms: D000200:Action Potentials; D000465:Algorithms; D003198:Computer Simulation; D004562:Electrocardiography / Q000295:instrumentation*; D005583:Fourier Analysis; D006801:Humans; D009474:Neurons / Q000502:physiology*; D011336:Probability; D012044:Regression Analysis