| The neural architecture of language: Integrative reverse-engineering converges on a model for predictive processing M Schrimpf, I Blank, G Tuckute, C Kauf, EA Hosseini, N Kanwisher, ... BioRxiv, 2020 | 412* | 2020 |
| Flexible timing by temporal scaling of cortical responses J Wang, D Narain, EA Hosseini, M Jazayeri Nature neuroscience 21 (1), 102-110, 2018 | 389 | 2018 |
| Flexible sensorimotor computations through rapid reconfiguration of cortical dynamics ED Remington, D Narain, EA Hosseini, M Jazayeri Neuron 98 (5), 1005-1019. e5, 2018 | 246 | 2018 |
| An open resource for non-human primate optogenetics S Tremblay, L Acker, A Afraz, DL Albaugh, H Amita, AR Andrei, ... Neuron 108 (6), 1075-1090. e6, 2020 | 97 | 2020 |
| Artificial neural network language models align neurally and behaviorally with humans even after a developmentally realistic amount of training EA Hosseini, M Schrimpf, Y Zhang, S Bowman, N Zaslavsky, E Fedorenko BioRxiv, 2022.10. 04.510681, 2022 | 25 | 2022 |
| Dissociating effects of error size, training duration, and amount of adaptation on the ability to retain motor memories L Alhussein, EA Hosseini, KP Nguyen, MA Smith, WM Joiner Journal of Neurophysiology 122 (5), 2027-2042, 2019 | 25 | 2019 |
| Reinforcement regulates timing variability in thalamus J Wang, E Hosseini, N Meirhaeghe, A Akkad, M Jazayeri Elife 9, e55872, 2020 | 19 | 2020 |
| The 24-h savings of adaptation to novel movement dynamics initially reflects the recall of previous performance KP Nguyen, W Zhou, E McKenna, K Colucci-Chang, LCJ Bray, ... Journal of Neurophysiology 122 (3), 933-946, 2019 | 16 | 2019 |
| The decay of motor adaptation to novel movement dynamics reveals an asymmetry in the stability of motion state-dependent learning EA Hosseini, KP Nguyen, WM Joiner PLoS computational biology 13 (5), e1005492, 2017 | 15 | 2017 |
| Artificial neural network language models predict human brain responses to language even after a developmentally realistic amount of training EA Hosseini, M Schrimpf, Y Zhang, S Bowman, N Zaslavsky, E Fedorenko Neurobiology of Language, 1-21, 2024 | 4 | 2024 |
| Neural populations in the language network differ in the size of their temporal receptive windows TI Regev, C Casto, EA Hosseini, M Adamek, AL Ritaccio, P Brunner, ... | 3 | 2022 |
| Intracranial recordings reveal three distinct neural response patterns in the language network TI Regev, C Casto, EA Hosseini, M Adamek, P Brunner, E Fedorenko bioRxiv, 2022.12. 30.522216, 2022 | 3 | 2022 |
| WhisBERT: Multimodal Text-Audio Language Modeling on 100M Words L Wolf, G Tuckute, K Kotar, E Hosseini, T Regev, E Wilcox, A Warstadt arXiv preprint arXiv:2312.02931, 2023 | 2 | 2023 |
| Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language. E Hosseini, E Fedorenko Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Noise resistant design of wavelet based multiresolution control EA Hosseini, H Sadjadian 2015 American Control Conference (ACC), 4959-4963, 2015 | 1 | 2015 |
| Eye movement-based probabilistic models for physical scene understanding. E Hosseini, E Pollock, T Gerstenberg CogSci, 2017 | | 2017 |
| Teasing apart the representational spaces of ANN language models to discover key axes of model-to-brain alignment EA Hosseini, N Zaslavsky, C Casto, E Fedorenko | | |
Evelina (Ev) FedorenkoMIT, Associate ProfessorVerified email at mit.edu
