| 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 | 649 | 2019 |
| Information-limiting correlations R Moreno-Bote, J Beck, I Kanitscheider, X Pitkow, P Latham, A Pouget Nature neuroscience 17 (10), 1410-1417, 2014 | 503 | 2014 |
| Correlations and neuronal population information A Kohn, R Coen-Cagli, I Kanitscheider, A Pouget Annual review of neuroscience 39, 237-256, 2016 | 308 | 2016 |
| Precision holography for non-conformal branes I Kanitscheider, K Skenderis, M Taylor Journal of High Energy Physics 2008 (09), 094, 2008 | 230 | 2008 |
| Fuzzballs with internal excitations I Kanitscheider, K Skenderis, M Taylor Journal of High Energy Physics 2007 (06), 056, 2007 | 230 | 2007 |
| Universal hydrodynamics of non-conformal branes I Kanitscheider, K Skenderis Journal of High Energy Physics 2009 (04), 062, 2009 | 201 | 2009 |
| Holographic anatomy of fuzzballs I Kanitscheider, K Skenderis, M Taylor Journal of High Energy Physics 2007 (04), 023, 2007 | 162 | 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 | 131 | 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 | 61 | 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 | 59 | 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 | 39 | 2020 |
| Kernel rnn learning (kernl) C Roth, I Kanitscheider, I Fiete International Conference on Learning Representations, 2018 | 22 | 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 | 19 | 2019 |
| Emergence of dynamically reconfigurable hippocampal responses by learning to perform probabilistic spatial reasoning I Kanitscheider, I Fiete bioRxiv, 231159, 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 |
| 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 | 9 | 2021 |
| 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 | 9 | 2017 |
| A method to estimate the number of neurons supporting visual orientation discrimination in primates R Coen-Cagli, I Kanitscheider, A Pouget F1000Research 6, 2017 | 4 | 2017 |
| Precision holography and its applications to black holes I Kanitscheider IIB 1 (D5ty), K3, 2009 | 1 | 2009 |
| AutoDIME: Automatic Design of Interesting Multi-Agent Environments I Kanitscheider, H Edwards arXiv preprint arXiv:2203.02481, 2022 | | 2022 |
