The brain’s unique take on algorithms

Aimone, James B.; Parekh, Ojas

doi:10.1038/s41467-023-40535-z

The brain’s unique take on algorithms

Journal Article · Wed Aug 16 00:00:00 EDT 2023 · Nature Communications

DOI:https://doi.org/10.1038/s41467-023-40535-z· OSTI ID:2212820

; Parekh, Ojas

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Sponsoring Organization:: USDOE

OSTI ID:: 2212820

Alternate ID(s):: OSTI ID: 2311369

Journal Information:: Nature Communications, Journal Name: Nature Communications Journal Issue: 1 Vol. 14; ISSN 2041-1723

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United Kingdom

Language:: English

References (14)

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Computational Complexity Arora, Sanjeev; Barak, Boaz https://doi.org/10.1017/CBO9780511804090	journal	January 2009
Computational models of schizophrenia and dopamine modulation in the prefrontal cortex Rolls, Edmund T.; Loh, Marco; Deco, Gustavo Nature Reviews Neuroscience, Vol. 9, Issue 9 https://doi.org/10.1038/nrn2462	journal	September 2008
Catalyzing next-generation Artificial Intelligence through NeuroAI Zador, Anthony; Escola, Sean; Richards, Blake Nature Communications, Vol. 14, Issue 1 https://doi.org/10.1038/s41467-023-37180-x	journal	March 2023
Toward a formal theory for computing machines made out of whatever physics offers Jaeger, Herbert; Noheda, Beatriz; van der Wiel, Wilfred G. Nature Communications, Vol. 14, Issue 1 https://doi.org/10.1038/s41467-023-40533-1	journal	August 2023
A deep learning framework for neuroscience Richards, Blake A.; Lillicrap, Timothy P.; Beaudoin, Philippe Nature Neuroscience, Vol. 22, Issue 11 https://doi.org/10.1038/s41593-019-0520-2	journal	October 2019
Opportunities for neuromorphic computing algorithms and applications Schuman, Catherine D.; Kulkarni, Shruti R.; Parsa, Maryam Nature Computational Science, Vol. 2, Issue 1 https://doi.org/10.1038/s43588-021-00184-y	journal	January 2022
Brain computation by assemblies of neurons Papadimitriou, Christos H.; Vempala, Santosh S.; Mitropolsky, Daniel Proceedings of the National Academy of Sciences, Vol. 117, Issue 25 https://doi.org/10.1073/pnas.2001893117	journal	June 2020
Vector Symbolic Architectures as a Computing Framework for Emerging Hardware Kleyko, Denis; Davies, Mike; Frady, Edward Paxon Proceedings of the IEEE, Vol. 110, Issue 10 https://doi.org/10.1109/JPROC.2022.3209104	journal	October 2022
Polynomial Time Corresponds to Solutions of Polynomial Ordinary Differential Equations of Polynomial Length Bournez, Olivier; Graça, Daniel S.; Pouly, Amaury Journal of the ACM, Vol. 64, Issue 6 https://doi.org/10.1145/3127496	journal	October 2017
Neural algorithms and computing beyond Moore's law Aimone, James B. Communications of the ACM, Vol. 62, Issue 4 https://doi.org/10.1145/3231589	journal	March 2019
Dynamic Programming with Spiking Neural Computing Aimone, James B.; Parekh, Ojas; Phillips, Cynthia A. ICONS '19: International Conference on Neuromorphic Systems, Proceedings of the International Conference on Neuromorphic Systems https://doi.org/10.1145/3354265.3354285	conference	July 2019
The hardware lottery Hooker, Sara Communications of the ACM, Vol. 64, Issue 12 https://doi.org/10.1145/3467017	journal	December 2021
Perspectives for computational modeling of cell replacement for neurological disorders Aimone, James B.; Weick, Jason P. Frontiers in Computational Neuroscience, Vol. 7 https://doi.org/10.3389/fncom.2013.00150	journal	January 2013

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