| Gpt-4 technical report J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ... arXiv preprint arXiv:2303.08774, 2023 | 3512* | 2023 |
| Emergent tool use from multi-agent autocurricula B Baker, I Kanitscheider, T Markov, Y Wu, G Powell, B McGrew, ... arXiv preprint arXiv:1909.07528, 2019 | 824 | 2019 |
| Information-limiting correlations R Moreno-Bote, J Beck, I Kanitscheider, X Pitkow, P Latham, A Pouget Nature neuroscience 17 (10), 1410-1417, 2014 | 560 | 2014 |
| Correlations and neuronal population information A Kohn, R Coen-Cagli, I Kanitscheider, A Pouget Annual review of neuroscience 39 (1), 237-256, 2016 | 350 | 2016 |
| Fuzzballs with internal excitations I Kanitscheider, K Skenderis, M Taylor Journal of High Energy Physics 2007 (06), 056, 2007 | 246 | 2007 |
| Precision holography for non-conformal branes I Kanitscheider, K Skenderis, M Taylor Journal of High Energy Physics 2008 (09), 094, 2008 | 241 | 2008 |
| Universal hydrodynamics of non-conformal branes I Kanitscheider, K Skenderis Journal of High Energy Physics 2009 (04), 062, 2009 | 205 | 2009 |
| Holographic anatomy of fuzzballs I Kanitscheider, K Skenderis, M Taylor Journal of High Energy Physics 2007 (04), 023, 2007 | 166 | 2007 |
| Origin of information-limiting noise correlations I Kanitscheider, R Coen-Cagli, A Pouget Proceedings of the National Academy of Sciences 112 (50), E6973-E6982, 2015 | 145 | 2015 |
| Measuring Fisher information accurately in correlated neural populations I Kanitscheider, R Coen-Cagli, A Kohn, A Pouget PLoS computational biology 11 (6), e1004218, 2015 | 67 | 2015 |
| Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems I Kanitscheider, I Fiete Advances in Neural Information Processing Systems 30, 2017 | 66 | 2017 |
| Sources of path integration error in young and aging humans M Stangl, I Kanitscheider, M Riemer, I Fiete, T Wolbers Nature communications 11 (1), 2626, 2020 | 60 | 2020 |
| Introducing chatgpt J Schulman, B Zoph, C Kim, J Hilton, J Menick, J Weng, JFC Uribe, ... OpenAI Blog, 2022 | 36 | 2022 |
| Kernel rnn learning (kernl) C Roth, I Kanitscheider, I Fiete International Conference on Learning Representations, 2018 | 25 | 2018 |
| Emergent tool use from multi-agent interaction B Baker, I Kanitscheider, T Markov, Y Wu, G Powell, B McGrew, ... Machine Learning, Cornell University, 2019 | 24 | 2019 |
| Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft I Kanitscheider, J Huizinga, D Farhi, WH Guss, B Houghton, R Sampedro, ... arXiv preprint arXiv:2106.14876, 2021 | 18 | 2021 |
| Emergence of dynamically reconfigurable hippocampal responses by learning to perform probabilistic spatial reasoning I Kanitscheider, I Fiete bioRxiv, 231159, 2017 | 12 | 2017 |
| Making our way through the world: Towards a functional understanding of the brain's spatial circuits I Kanitscheider, I Fiete Current Opinion in Systems Biology 3, 186-194, 2017 | 11 | 2017 |
| Multisensory decisions provide support for probabilistic number representations I Kanitscheider, A Brown, A Pouget, AK Churchland Journal of neurophysiology 113 (10), 3490-3498, 2015 | 10 | 2015 |
| A method to estimate the number of neurons supporting visual orientation discrimination in primates R Coen-Cagli, I Kanitscheider, A Pouget F1000Research 6, 2017 | 6 | 2017 |
