How AI could lead to a better understanding of the brain.

Viren Jain
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Abstract

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Keywords

References

  1. McCulloch, W. S. & Pitts, W. Bull. Math. Biophys. 5, 115–133 (1943). [DOI: 10.1007/BF02478259]
  2. Jefferis, G., Collinson, L., Bosch, C., Costa, M. & Schlegel, P. Scaling up Connectomics (Wellcome, 2023).
  3. Cook, S. J. et al. Nature 571, 63–71 (2019). [PMID: 31270481]
  4. Winding, M. et al. Science 379, eadd9330 (2023). [PMID: 36893230]
  5. Dorkenwald, S. et al. Preprint at bioRxiv https://doi.org/10.1101/2023.06.27.546656 (2023).
  6. De Ceglia, R. et al. Nature 622, 120–129 (2023). [PMID: 37674083]
  7. Schretter, C. E. et al. eLife 9, e58942 (2020). [PMID: 33141021]
  8. Wilson, R. I. Annu. Rev. Neurosci. 46, 403–423 (2023). [PMID: 37428603]
  9. Wanner, A. A. & Friedrich, R. W. Nature Neurosci. 23, 433–442 (2020). [PMID: 31959937]
  10. Vishwanathan, A. et al. Preprint at bioRxiv https://doi.org/10.1101/2020.10.28.359620 (2020).
  11. Petrucco, L. et al. Nature Neurosci. 26, 765–773 (2023). [PMID: 37095397]
  12. Chen, X. et al. Neuron 100, 876–890 (2018). [PMID: 30473013]
  13. Takemura, S.-Y. et al. Nature 500, 175–181 (2013). [PMID: 23925240]
  14. Kilman, V. L. & Marder, E. J. Comp. Neurol. 374, 362–375 (1996). [PMID: 8906505]
  15. Bargmann, C. I. & Marder, E. Nature Methods 10, 483–490 (2013). [PMID: 23866325]
  16. Lam, R. et al. Preprint at https://arxiv.org/abs/2212.12794 (2023).
  17. Espeholt, L. et al. Nature Commun. 13, 5145 (2022). [PMID: 36050311]
  18. Witvliet, D. et al. Nature 596, 257–261 (2021). [PMID: 34349261]
  19. Haspel, G. et al. Preprint at https://arxiv.org/abs/2308.06578 (2023).
  20. Frégnac, Y. & Laurent, G. Nature 513, 27–29 (2014). [PMID: 25186884]

MeSH Term

Artificial Intelligence
Brain
Neural Networks, Computer
Machine Learning
Nerve Net