Electrical Engineering and Computer Science

Defense Event

Analog Front-End Circuits For Massive Parallel 3-D Neural Microsystems

Khaled Mohamed Alashmouny

 
Monday, January 14, 2013
3:00pm - 5:00pm
3316 EECS

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About the Event

Understanding the brain dynamics has tremendously improved due to the progress in neural recording techniques over the past five decades. The number of simultaneously recorded channels actually doubles every 7 years, which implies that a few thousands channels recording system should be available in the next two decades. This research has focused on increasing the number of simultaneously recorded channels and providing modular design approaches to improve the integration and expansion of 3-D recording microsystem. Three analog front-ends (AFE) have been developed to scale both power and area on both circuit and system levels. The circuits operate with a supply voltage down to 0.5 V and consume a minimum power of 1.4μW per channel. The first analog front-end have optimized energy efficiency using techniques such as moderate inversion, minimized asynchronous interface for data acquisition, power-scalable sampling operation, and a wide configuration range of gain and bandwidth. The second analog front-end provides the next level of scaling using dc-coupled analog compression techniques to reject the electrode offset and reduce the implementation area further. Signal processing techniques were also explored to transfer some computation power outside the brain. The last AFE (128-channels) shows another leap in neural recording using monolithic integration of recording circuits on the shanks of neural probes.

Additional Information

Sponsor: Euisik Yoon

Open to: Public