I am a Machine Learning Engineer and Researcher at Google Research developing embedded speech processing technologies. Before this, I was a Researcher at Vicarious AI studying neuroscience-inspired computer vision algorithms for object recognition. I hold a Ph. D in Systems Neuroscience from MIT and a M. Eng. in Biomedical Engineering from Imperial College London.
My research interests lie at the intersection of Computational Neuroscience, Machine Learning and Embedded Systems. Specifically, I hope to one day develop intelligent agents that see, act and, in turn, solve real-world problems.
I am originally from Singapore. In my spare time, I am a dog-dad to Tintin the Sheepadoodle
Most recent publications on Google Scholar.
Learning cognitive maps for vicarious evaluation
RV Rikhye, N Gothoskar, JS Guntupalli, A Dedieu, M Lazaro-Gredilla, D George
Cerebral Cortex 30(2) 2020
Prefrontal computation as active inference
T. Parr RV Rikhye, MM Halassa, K. Friston
Cerebral Cortex 30(2) 2020
Thalamic regulation of switching between cortical representations enables cognitive flexibility
RV Rikhye, A Gilra, MM Halassa
Nature Neuroscience 21(12) 2018
Toward an integrative theory of thalamic function
RV Rikhye, RD Wimmer, MM Halassa
Annual Reviews in Neuroscience 41 2018
Reliable sensory processing in mouse visual cortex through inhibitory interactions between Somatostatin and Parvalbumin interneurons
RV Rikhye, M Yildirim, V Breton-Provencher, M Hu, M Sur
Jointly reduced inhibition and excitation underlies circuit-wide changes in cortical processing in Rett syndrome
A Banerjee, RV Rikhye, V Breton-Provencher, C Li, K, Li, M Sur
Proceedings of the National Academy of Sciences 113 (46) 2016
Spatial Correlations in Natural Scenes Modulate Response Reliability in Mouse Visual Cortex
RV Rikhye, M Sur
The Journal of Neuroscience 35(43) 2015
Full Resume in PDF.
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