Neuroelectronic interface and neuromorphic engineering
Donhee Ham a
a Harvard University, 12 Oxford Street, Cambridge, 0, United States
Proceedings of Neuromorphic Materials, Devices, Circuits and Systems (NeuMatDeCaS)
VALÈNCIA, Spain, 2023 January 23rd - 25th
Organizers: Rohit Abraham John, Irem Boybat, Jason Eshraghian and Simone Fabiano
Invited Speaker, Donhee Ham, presentation 058
DOI: https://doi.org/10.29363/nanoge.neumatdecas.2023.058
Publication date: 9th January 2023

Reverse engineering the brain by mimicking the structure and function of biological neuronal networks on a silicon chip was the original goal of neuromorphic engineering, but remains a distant dream. The focus of neuromorphic engineering has thus been eased from the rigorous brain mimicry to brain-inspired design. In this talk, I would like to share an advance in neuroelectronic interface, whose ability to map the biological functional synaptic connectivity may return neuromorphic electronics to its original goal of reverse engineering the brain and may one day create what better approximates the unique computing traits of the brain. Reverse engineering  the

 

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