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Person

Amitabh Yadav

This person has left EPFL

Expertise Digital IC Design, Computer Architecture, Machine Learning, FPGA, MPSoC, Embedded Systems Education Research Affiliate | Department of Physics 2019 – 2019 University of California, Berkeley Master of Science (M.Sc.) | Electrical Engineering, Mathematics and Computer Science 2017 – 2017 Delft University of Technology Bachelor of Technology (B.Tech.) | Electronics Engineering 2013 – 2013 University of Petroleum and Energy Studies

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https://people.epfl.ch/amitabh.yadav?lang=en

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Amitabh Yadav

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A 2.46-mm2 Miniaturized Brain-Machine Interface (MiBMI) Enabling 31-Class Brain-to-Text Decoding

33.3 MiBMI: A 192/512-Channel 2.46mm² Miniaturized Brain-Machine Interface Chipset Enabling 31-Class Brain-to-Text Conversion Through Distinctive Neural Codes

A 32-Channel 196-μW Logarithmic SoC for Brain Network Connectivity Extraction and Adaptive Psychiatric Symptom Classification