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Computational neuroscience

Spatially embedded neuromorphic networks

Nature Machine Intelligence volume 5, pages 1342–1343 (2023)Cite this article

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A framework for training artificial neural networks in physical space allows neuroscientists to build networks that look and function like real brains.

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Fig. 1: Spatially embedded recurrent neural networks yield neuromorphic architectures.

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Authors and Affiliations

  1. Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada

    Filip Milisav & Bratislav Misic

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  1. Filip Milisav
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  2. Bratislav Misic
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Correspondence to Bratislav Misic.

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The authors declare no competing interests.

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Milisav, F., Misic, B. Spatially embedded neuromorphic networks. Nat Mach Intell 5, 1342–1343 (2023). https://doi.org/10.1038/s42256-023-00771-w

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