| Identifying natural images from human brain activity KN Kay, T Naselaris, RJ Prenger, JL Gallant Nature 452 (7185), 352-355, 2008 | 1580 | 2008 |
| Reconstructing visual experiences from brain activity evoked by natural movies S Nishimoto, AT Vu, T Naselaris, Y Benjamini, B Yu, JL Gallant Current biology 21 (19), 1641-1646, 2011 | 1205 | 2011 |
| Mental imagery: functional mechanisms and clinical applications J Pearson, T Naselaris, EA Holmes, SM Kosslyn Trends in cognitive sciences 19 (10), 590-602, 2015 | 1082 | 2015 |
| Encoding and decoding in fMRI T Naselaris, KN Kay, S Nishimoto, JL Gallant Neuroimage 56 (2), 400-410, 2011 | 1006 | 2011 |
| Bayesian reconstruction of natural images from human brain activity T Naselaris, RJ Prenger, KN Kay, M Oliver, JL Gallant Neuron 63 (6), 902-915, 2009 | 660 | 2009 |
| A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence EJ Allen, G St-Yves, Y Wu, JL Breedlove, JS Prince, LT Dowdle, M Nau, ... Nature neuroscience 25 (1), 116-126, 2022 | 380 | 2022 |
| A voxel-wise encoding model for early visual areas decodes mental images of remembered scenes T Naselaris, CA Olman, DE Stansbury, K Ugurbil, JL Gallant Neuroimage 105, 215-228, 2015 | 327 | 2015 |
| Natural scene statistics account for the representation of scene categories in human visual cortex DE Stansbury, T Naselaris, JL Gallant Neuron 79 (5), 1025-1034, 2013 | 201 | 2013 |
| Mapping of the preferred direction in the motor cortex AP Georgopoulos, H Merchant, T Naselaris, B Amirikian Proceedings of the National Academy of Sciences 104 (26), 11068-11072, 2007 | 121 | 2007 |
| Extensive sampling for complete models of individual brains T Naselaris, E Allen, K Kay Current Opinion in Behavioral Sciences 40, 45-51, 2021 | 110 | 2021 |
| The feature-weighted receptive field: an interpretable encoding model for complex feature spaces G St-Yves, T Naselaris NeuroImage 180, 188-202, 2018 | 102 | 2018 |
| Dynamic sculpting of directional tuning in the primate motor cortex during three-dimensional reaching H Merchant, T Naselaris, AP Georgopoulos Journal of Neuroscience 28 (37), 9164-9172, 2008 | 100 | 2008 |
| Resolving ambiguities of MVPA using explicit models of representation T Naselaris, KN Kay Trends in cognitive sciences 19 (10), 551-554, 2015 | 93 | 2015 |
| Visual cortex activation to drug cues: a meta-analysis of functional neuroimaging papers in addiction and substance abuse literature CA Hanlon, LT Dowdle, T Naselaris, M Canterberry, BM Cortese Drug and alcohol dependence 143, 206-212, 2014 | 90 | 2014 |
| Generative feedback explains distinct brain activity codes for seen and mental images JL Breedlove, G St-Yves, CA Olman, T Naselaris Current Biology 30 (12), 2211-2224. e6, 2020 | 87 | 2020 |
| Cortical representation of animate and inanimate objects in complex natural scenes T Naselaris, DE Stansbury, JL Gallant Journal of Physiology-Paris 106 (5-6), 239-249, 2012 | 81 | 2012 |
| Generative adversarial networks conditioned on brain activity reconstruct seen images G St-Yves, T Naselaris 2018 IEEE international conference on systems, man, and cybernetics (SMC …, 2018 | 67 | 2018 |
| Large-scale organization of preferred directions in the motor cortex. I. Motor cortical hyperacuity for forward reaching T Naselaris, H Merchant, B Amirikian, AP Georgopoulos Journal of neurophysiology 96 (6), 3231-3236, 2006 | 57 | 2006 |
| Better models of human high-level visual cortex emerge from natural language supervision with a large and diverse dataset AY Wang, K Kay, T Naselaris, MJ Tarr, L Wehbe Nature Machine Intelligence 5 (12), 1415-1426, 2023 | 51* | 2023 |
| Cognitive computational neuroscience: A new conference for an emerging discipline T Naselaris, DS Bassett, AK Fletcher, K Kording, N Kriegeskorte, ... Trends in cognitive sciences 22 (5), 365-367, 2018 | 49 | 2018 |
Kendrick KayAssociate Professor, University of MinnesotaAdresse e-mail validée de umn.edu
