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A Scalable, High-density ECoG Recording Architecture for Bi-directional Brain Computer Interfaces

April 18 @ 12:00 pm - 1:00 pm

Bi-directional Brain Computer Interfaces (BBCI), systems capable of recording from, and providing stimulus to the nervous system offer great promise for helping patients with motor defects, and serve as a critical tool for the understanding of the Brain. It is anticipated that future BBCI systems will require processing over a thousand  channels between stimulus and recording, while maintaining power, volume, and precision constraints. 

Much progress has been made in recent years to advance the state-of-the-art in integration and power dissipation. However, existing methods, largely extensions of traditional approaches to Analog-Front-End (AFE) design do not scale well to the new thousand channel paradigm. Further, the problem of canceling artifacts of stimulation during recording are challenges-Significant improvement is required in differential artifact cancellation, and common mode cancellation remains an open problem. 

In this talk, I will discuss recent work in my group focusing on circuit-architectures that address two key areas (1) scalability in frequency, channel-count and process-technology (2) Exploiting the signal statistics of neural signals to meet challenging system level performance ~(e.g. 14b ADC resolution) using much simpler, robust, low-power circuits. Silicon measurements of a 64-channel prototype in 65nm CMOS will be discussed.  

http://www.ece.utexas.edu/events/scalable-high-density-ecog-recording-architecture-bi-directional-brain-computer-interfaces

Speaker(s): Visvesh S. Sathe,

Location:
Room: 1.518
Bldg: EER
Austin, Texas
78712

Details

Date:
April 18
Time:
12:00 pm - 1:00 pm
Website:
http://events.vtools.ieee.org/m/171371
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