| Attractor and integrator networks in the brain M Khona, IR Fiete Nature Reviews Neuroscience 23 (12), 744-766, 2022 | 170 | 2022 |
| No free lunch from deep learning in neuroscience: A case study through models of the entorhinal-hippocampal circuit R Schaeffer, M Khona, I Fiete Advances in neural information processing systems 35, 16052-16067, 2022 | 57 | 2022 |
| Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice R Schaeffer, M Khona, L Meshulam, IB Laboratory, IR Fiete Advances in Neural Information Processing Systems 33, 4584-4596, 2020 | 37 | 2020 |
| Double descent demystified: Identifying, interpreting & ablating the sources of a deep learning puzzle R Schaeffer, M Khona, Z Robertson, A Boopathy, K Pistunova, JW Rocks, ... arXiv preprint arXiv:2303.14151, 2023 | 20 | 2023 |
| Self-supervised learning of representations for space generates multi-modular grid cells R Schaeffer, M Khona, T Ma, C Eyzaguirre, S Koyejo, I Fiete Advances in Neural Information Processing Systems 36, 2024 | 12 | 2024 |
| Growing brains: Co-emergence of anatomical and functional modularity in recurrent neural networks Z Liu, M Khona, IR Fiete, M Tegmark arXiv preprint arXiv:2310.07711, 2023 | 10 | 2023 |
| From smooth cortical gradients to discrete modules: spontaneous and topologically robust emergence of modularity in grid cells M Khona, S Chandra, IR Fiete bioRxiv, 2021.10. 28.466284, 2022 | 10* | 2022 |
| Winning the lottery with neural connectivity constraints: Faster learning across cognitive tasks with spatially constrained sparse rnns M Khona, S Chandra, JJ Ma, IR Fiete Neural Computation 35 (11), 1850-1869, 2023 | 8* | 2023 |
| Large language models surpass human experts in predicting neuroscience results X Luo, A Rechardt, G Sun, KK Nejad, F Yáñez, B Yilmaz, K Lee, ... arXiv preprint arXiv:2403.03230, 2024 | 7 | 2024 |
| How capable can a transformer become? a study on synthetic, interpretable tasks R Ramesh, M Khona, RP Dick, H Tanaka, ES Lubana arXiv preprint arXiv:2311.12997, 2023 | 6 | 2023 |
| Efficient online inference for nonparametric mixture models R Schaeffer, B Bordelon, M Khona, W Pan, IR Fiete Uncertainty in Artificial Intelligence, 2072-2081, 2021 | 4 | 2021 |
| An information-theoretic understanding of maximum manifold capacity representations B Isik, V Lecomte, R Schaeffer, Y LeCun, M Khona, R Shwartz-Ziv, ... UniReps: the First Workshop on Unifying Representations in Neural Models, 2023 | 3* | 2023 |
| Uncovering Latent Memories: Assessing Data Leakage and Memorization Patterns in Large Language Models S Duan, M Khona, A Iyer, R Schaeffer, IR Fiete arXiv preprint arXiv:2406.14549, 2024 | 2 | 2024 |
| Caenorhabditis elegans foraging patterns follow a simple rule of thumb G Madirolas, A Al-Asmar, L Gaouar, L Marie-Louise, A Garza-Enríquez, ... Communications Biology 6 (1), 841, 2023 | 2 | 2023 |
| Bridging Associative Memory and Probabilistic Modeling R Schaeffer, N Zahedi, M Khona, D Pai, S Truong, Y Du, M Ostrow, ... arXiv preprint arXiv:2402.10202, 2024 | 1* | 2024 |
| Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model M Khona, M Okawa, J Hula, R Ramesh, K Nishi, R Dick, ES Lubana, ... arXiv preprint arXiv:2402.07757, 2024 | 1 | 2024 |
| Self-organized emergence of modularity, hierarchy, and mirror reversals from competitive synaptic growth in a developmental model of the visual pathway S Chandra, M Khona, T Konkle, I Fiete bioRxiv, 2024.01. 07.574543, 2024 | 1 | 2024 |
| Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks R Ramesh, ES Lubana, M Khona, RP Dick, H Tanaka Forty-first International Conference on Machine Learning, 0 | 1 | |
| In-Context Learning of Energy Functions R Schaeffer, M Khona, S Koyejo arXiv preprint arXiv:2406.12785, 2024 | | 2024 |
| Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations R Schaeffer, V Lecomte, DB Pai, A Carranza, B Isik, A Unell, M Khona, ... arXiv preprint arXiv:2406.09366, 2024 | | 2024 |
Ila FieteProfessor of Brain and Cognitive Sciences, MITVerified email at mit.edu
Rylan SchaefferStanford UniversityVerified email at stanford.edu
Sanmi KoyejoAssistant Professor, Stanford UniversityVerified email at stanford.edu
Sarthak ChandraMassachusetts Institute of TechnologyVerified email at mit.edu
International Brain Laboratorywww.internationalbrainlab.orgVerified email at ucl.ac.uk
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityVerified email at cs.nyu.edu
Berivan IsikGoogleVerified email at google.com
Max TegmarkProfessor of Physics, MITVerified email at mit.edu
Ziming LiuMITVerified email at mit.edu
Jeff GoreProfessor of Physics, Massachusetts Institute of TechnologyVerified email at mit.edu
Martina Dal BelloMIT, Physics of Living SystemsVerified email at mit.edu
