Title :
An activity-dependent brain microstimulation SoC with integrated 23nV/rtHz neural recording front-end and 750nW spike discrimination processor
Author :
Azin, Meysam ; Guggenmos, David J. ; Barbay, Scott ; Nudo, Randolph J. ; Mohseni, Pedram
Author_Institution :
EECS Dept, Case Western Reserve Univ., Cleveland, OH, USA
Abstract :
This paper describes an activity-dependent intracortical microstimulation system-on-chip (SoC) that can convert extracellular neural signals recorded from one brain region to electrical stimuli delivered to another brain region in real-time. The system integrates an analog recording front-end with input noise voltage of 2.6μVrms in 10.5kHz bandwidth, 5.5μW 10b SAR ADC, 750nW digital spike discrimination processor, and a charge-balanced constant-current stimulating back-end that can deliver up to 94.5μA with 6b resolution when triggered by neural activity. Electrical performance characterization and biological measurement results from a prototype chip fabricated in 0.35μm 2P/4M CMOS are presented.
Keywords :
CMOS integrated circuits; analogue-digital conversion; bioelectric potentials; biomedical electronics; brain; brain-computer interfaces; neurophysiology; system-on-chip; CMOS; SAR ADC; activity dependent brain microstimulation SoC; activity dependent intracortical microstimulation system-on-chip; analog recording front end with; bandwidth 10.5 kHz; charge balanced constant current stimulating back end; digital spike discrimination processor; electrical stimuli; extracellular neural signal; integrated neural recording front end; power 5.5 muW; power 750 nW; size 0.35 mum; Current measurement; Digital signal processing; IIR filters; Noise; Real time systems; System-on-a-chip; brain; neural recording; neurostimulation; spike discrimination; system-on-chip;
Conference_Titel :
VLSI Circuits (VLSIC), 2010 IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-5454-9
DOI :
10.1109/VLSIC.2010.5560288
