The brain’s unique take on algorithms

James B. Aimone () and Ojas Parekh ()
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James B. Aimone: Center for Computing Research, Sandia National Laboratories
Ojas Parekh: Center for Computing Research, Sandia National Laboratories

Nature Communications, 2023, vol. 14, issue 1, 1-3

Abstract: Perspectives for understanding the brain vary across disciplines and this has challenged our ability to describe the brain’s functions. In this comment, we discuss how emerging theoretical computing frameworks that bridge top-down algorithm and bottom-up physics approaches may be ideally suited for guiding the development of neural computing technologies such as neuromorphic hardware and artificial intelligence. Furthermore, we discuss how this balanced perspective may be necessary to incorporate the neurobiological details that are critical for describing the neural computational disruptions within mental health and neurological disorders.

Date: 2023
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DOI: 10.1038/s41467-023-40535-z

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