Publications

  1. L. Ji-An, M. K. Benna, “Deep Learning without Weight Symmetry”, arXiv preprint arXiv:2405.20594 (2024). https://doi.org/10.48550/arXiv.2405.20594
  2. Y. Song, M. K. Benna, “Parallel Synapses with Transmission Nonlinearities Enhance Neuronal Classification Capacity”,
  3. L. Ji-An, C. Y. Zhou, M. K. Benna, M. G. Mattar, “Linking In-context Learning in Transformers to Human Episodic Memory”. arXiv preprint arXiv:2405.14992 (2024). https://doi.org/10.48550/arXiv.2405.14992
  4. L. Zhang, L. Ji-An, Y. Hu, J. Jiang, R. Lai, M. K. Benna, J. Shi. “Emulating Complex Synapses Using Interlinked Proton Conductors”. arXiv preprint arXiv:2401.15045 (2024). https://doi.org/10.48550/arXiv.2401.15045
  5. L. Ji-An, M. K. Benna, M. G. Mattar, “Automatic Discovery of Cognitive Strategies with Tiny Recurrent Neural Networks”.
    bioRxiv 2023.04.12.536629 (2023). doi: https://doi.org/10.1101/2023.04.12.536629
  6. K. M. Tye, E. K. Miller, F. H. Taschbach, M. K. Benna, M. Rigotti, S. Fusi, “Mixed selectivity: Cellular computations for complexity”, Neuron, Volume 112, Issue 14, (2024). https://doi.org/10.1016/j.neuron.2024.04.017
  7. L. She, M. K. Benna, Y. Shi, S. Fusi, D. Y. Tsao, “Temporal multiplexing of perception and memory codes in IT cortex”. Nature (2024). https://doi.org/10.1038/s41586-024-07349-5​
  8. S. Bernardi, M. K. Benna, M. Rigotti, J. Munuera, S. Fusi, C. D. Salzman, “The Geometry of Abstraction in the Hippocampus and Prefrontal Cortex”, Cell, Volume 183, Issue 4, Pages 954-967.e21, (2020). https://doi.org/10.1016/j.cell.2020.09.031
  9. M. K. Benna and S. Fusi, “Place cells may simply be memory cells: Memory compression leads to spatial tuning and history dependence”, Proceedings of the National Academy of Sciences, 118 (51) e2018422118 (2021). https://doi.org/10.1073/pnas.2018422118
  10. L. Ji-An, F. Stefanini, M. K. Benna and S. Fusi, “Face familiarity detection with complex synapses”, iScience 26(1):105856 (2022). doi: 10.1016/j.isci.2022.105856
  11. M. K. Benna and S. Fusi, “Efficient online learning with low-precision synaptic variables”, 51st Asilomar Conf. on Signals, Systems & Computers (2017). doi: 10.1109/ACSSC.2017.8335630
  12. M. K. Benna and S. Fusi, “Computational principles of synaptic memory consolidation”, Nature Neuroscience 19, 1697–1706 (2016). doi: 10.1038/nn.4401