Brain-Implantable Integrated Circuits

One of the primary motivations of brain-computer interfaces is to restore behavioral functions for patients who are unable to move or communicate through normal neural pathways caused by strokes or chronic diseases. This project investigates a brain-implantable mixed-signal processor to decode brain's neural spikes for controlling a variety of prosthetic devices.

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Artificial Neural Network Processor

Inducing intelligence into machines in an artificial way, and hence the name Artificial Intelligence, has become prevalent in a wide range of applications. This project focuses on the design and implementation of a hybrid programmable and reconfigurable processor with a custom instruction set architecture for efficient realization of artificial neural networks.

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Ultra Low-Power Circuits for Intra-Body Wireless Communication

The objective of this project is to investigate compact and ultra low-power circuits for wireless transmission of neural information from a chip implanted on the human brain to an off-body transceiver. A realistic intra-body channel simulator on a field-programmable gate array is utilized to reliably measure the error rate performance of the designed wireless transceiver.

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          My research is supported by the Center for Neurotechnology, a National Science Foundation           Engineering Research Center (EEC-1028725), and the NSF Award #2007131.

          Our research is highlited in the San Diego State University 2019-2020 Research Highlights.