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DOE OSTI · 2506703

Position Papers for the 2024 ASCR Workshop on Neuromorphic Computing for Science

Adam, Gina·Kenyon, Garrett·Potok, Thomas·Ascoli, Georgio·Chance, Frances·Chen, Yiran·Friedman, Joseph·Merkel, Cory·Parsa, Maryam·Parto, Midya·Schumann, Catherine·Yoo, Shinjae·Zeng, Yuping
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Abstract

Engineering novel neuromorphic computing systems with functionalities, capabilities, and energy efficiency similar to biological brains is one of the most exciting and challenging scientific endeavors of our time. This workshop aims to identify key research needs, challenges, and next steps necessary to develop biologically realistic neuromorphic circuits primitives that capture the functionality of neural systems found in nature. Moreover, simulating neuromorphic computing primitives integrated into networks will be key to under standing their behavior at scale, particularly for those computing architectures where full-scale commercial fabrication is not yet readily accessible. Appropriate neuroscience datasets and metrics will have to be established to vet proposed neuromorphic circuits.

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97 MATHEMATICS AND COMPUTING

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Adam, Gina, Kenyon, Garrett, Potok, Thomas, Ascoli, Georgio, Chance, Frances, Chen, Yiran, Friedman, Joseph, Merkel, Cory, Parsa, Maryam, Parto, Midya, Schumann, Catherine, Yoo, Shinjae, Zeng, Yuping. 2024-01-01. Position Papers for the 2024 ASCR Workshop on Neuromorphic Computing for Science. https://doi.org/10.2172/2506703

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