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Rajit Manohar, PhD

Faculty Member

Center for Neurocomputation and Machine Intelligence

Email | Lab | Department | ORCID | GitHub

Brain-computer interfaces and neuromorphic computing

Manohar's research group works on asynchronous circuits and architecture, including theory, design, and automation. They are interested in the design and implementation of extremely low-power circuits that model large-scale interconnected spiking neurons and synapses, energy-efficient machine learning hardware inspired by neuroscience, and low-power electronics for brain-computer interfaces.

Methods

Topics

Biography

Rajit Manohar received his BS (1994), MS (1995), and PhD (1998) in Computer Science from the California Institute of Technology. He started his lab in 1998 at Cornell University and moved to Yale in 2017.

Research Contributions

Hardware-software co-design for Brain-Computer Interfaces

2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA) (2020)