| Attractor and integrator networks in the brain M Khona, IR Fiete Nature Reviews Neuroscience 23 (12), 744-766, 2022 | 237 | 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 | 69 | 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 | 40 | 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 | 30 | 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, ... Nature human behaviour, 1-11, 2024 | 20 | 2024 |
| 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, 23140-23157, 2023 | 17 | 2023 |
| 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 | 13 | 2023 |
| How capable can a transformer become? a study on synthetic, interpretable tasks R Ramesh, M Khona, RP Dick, H Tanaka, ES Lubana arXiv preprint, 2023 | 12 | 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 | 9* | 2023 |
| 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 | 6 | |
| 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 | 5 | 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 | 4 | 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 |
| Position: Maximizing neural regression scores may not identify good models of the brain R Schaeffer, M Khona, S Chandra, M Ostrow, B Miranda, S Koyejo UniReps: 2nd Edition of the Workshop on Unifying Representations in Neural …, 2024 | 2 | 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 | 2 | 2024 |
| 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 | 2* | 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 | 2 | 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, IR Fiete bioRxiv, 2024.01. 07.574543, 2024 | 1 | 2024 |
Ila FieteProfessor of Brain and Cognitive Sciences, MITZweryfikowany adres z mit.edu