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Bridging the gap between artificial intelligence and natural intelligence

Nature Computational Science volume 4, pages 559–560 (2024)Cite this article

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According to a recent study, a small network consisting of four leaky integrate-and-fire neurons can reproduce the behavior of a single Hodgkin–Huxley neuron, thereby bridging the gap between endogenous and exogenous complexity.

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Fig. 1: The trade-off between biological realism and utility of several common neuron models.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of California, Santa Cruz, CA, USA

    Rui-Jie Zhu, Skye Gunasekaran & Jason Eshraghian

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  1. Rui-Jie Zhu
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  2. Skye Gunasekaran
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  3. Jason Eshraghian
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Correspondence to Jason Eshraghian.

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The authors declare no competing interests.

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Zhu, RJ., Gunasekaran, S. & Eshraghian, J. Bridging the gap between artificial intelligence and natural intelligence. Nat Comput Sci 4, 559–560 (2024). https://doi.org/10.1038/s43588-024-00677-6

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