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The emergence of NeuroAI: bridging neuroscience and artificial intelligence

Neuroscience has inspired artificial intelligence (AI) for decades but, in recent years, AI tools have begun to revolutionize neuroscience research. The emerging field of NeuroAI has the potential to transform large-scale neural modelling and data-driven neuroscience discovery. The field must balance exploiting AI’s power while maintaining interpretability and biological insight.

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References

  1. Ravi, N. et al. SAM 2: segment anything in images and videos. Preprint at https://arxiv.org/abs/2408.00714 (2024).

  2. Stringer, C., Wang, T., Michaelos, M. & Pachitariu, M. Cellpose: a generalist algorithm for cellular segmentation. Nat. Methods 18, 100–106 (2021).

    Article  PubMed  CAS  Google Scholar 

  3. Schlegel, P. et al. Whole-brain annotation and multi-connectome cell typing of Drosophila. Nature 634, 139–152 (2024).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  4. Schmidt, M., Motta, A., Sievers, M. & Helmstaedter, M. RoboEM: automated 3D flight tracing for synaptic-resolution connectomics. Nat. Methods 21, 908–913 (2024).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  5. Vogt, N. Automated behavioral analysis. Nat. Methods 18, 29 (2021).

    Article  PubMed  CAS  Google Scholar 

  6. Schneider, S., Lee, J. H. & Mathis, M. W. Learnable latent embeddings for joint behavioural and neural analysis. Nature 617, 360–368 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  7. Wang, E. Y. et al. Foundation model of neural activity predicts response to new stimulus types. Nature 640, 470–477 (2025).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  8. Metzger, S. L. et al. A high-performance neuroprosthesis for speech decoding and avatar control. Nature 620, 1037–1046 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  9. Wairagkar, M. et al. An instantaneous voice-synthesis neuroprosthesis. Nature https://doi.org/10.1038/s41586-025-09127-3 (2025).

  10. Gottweis, J. et al. Towards an AI co-scientist. Preprint at https://arxiv.org/abs/2502.18864 (2025).

Download references

Acknowledgements

The authors thank A. Schaefer, P. Gleeson, F. Iacaruso and N. Skatchkovsky for reading an earlier version of this Comment and providing their insightful comments on it.

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Correspondence to Claudia Clopath.

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Sadeh, S., Clopath, C. The emergence of NeuroAI: bridging neuroscience and artificial intelligence. Nat. Rev. Neurosci. 26, 583–584 (2025). https://doi.org/10.1038/s41583-025-00954-x

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