Brain-Implantable Integrated Circuits
One of the primary objectives of brain-computer interfaces is to restore behavioral functions in patients who have lost the ability to move or communicate through normal neural pathways due to strokes or chronic neurological conditions. This project explores a brain-implantable processor designed to decode neural signals for controlling a variety of prosthetic devices.
Artificial Neural Network Processor
This project focuses on the design and implementation of a programmable and reconfigurable processor featuring a custom instruction set architecture, aimed at the efficient realization of artificial neural networks.
Ultra Low-Power Circuits for Intra-Body Wireless Communication
The objective of this project is to investigate compact, ultra–low-power circuits for the wireless transmission of neural information from a chip implanted in the human brain to an external transceiver. By utilizing a realistic intra-body channel simulator implemented on a field-programmable gate array (FPGA), the error rate performance of the designed wireless transceiver can be reliably evaluated.
Our research has been supported by the following National Science Foundation (NSF) awards:
as well as by the Center for Neurotechnology – an NSF Engineering Research Center (ERC) at the University of Washington, in partnership with the Massachusetts Institute of Technology (MIT).
More information about our research can be found in the San Diego State University Research Highlights.