St-Yves, G., Allen, E. J., Wu, Y., Kay, K., & Naselaris, T. (2023). Brain-optimized deep neural network models of human visual areas learn non-hierarchical representations. Nature Communications, 14(1), 3329. [PDF]

St-Yves G, Allen, EJ, Wu Y, Kay K*, & Naselaris T* (2022). Brain-optimized neural networks learn non-hierarchical models of representation in human visual cortex. bioRxiv. [PDF]

Allen EJ, St-Yves G, Wu Y, Breedlove J., Dowdle LT, Caron B, Pestilli F, Charest I, Hutchinson JB, Nau M, Naselaris T*, Kay K* (2022). A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence. Nature neuroscience, 25(1), 116-126. [PDF]

Mell, M. M., St-Yves, G., & Naselaris, T. (2021). Voxel-to-voxel predictive models reveal unexpected structure in unexplained variance. NeuroImage, 238, 118266. [PDF]

Naselaris T, Allen E,  Kay K (2021). Extensive sampling for complete models of individual brains. Current Opinion in Behavioral Sciences40, 45-51. [PDF]

Breedlove J*, St-Yves G*, Olman CA, Naselaris T (2020) Generative feedback explains distinct brain activity codes for seen and mental images. Current Biology, 30, 2211-2224. [PDF]

Sabra Z., Bonilha L., Naselaris T. (2020) Spectral encoding of seen and attended object categories. Journal of Neuroscience. 40 (2) 327-342 [PDF]

Breedlove, J., St-Yves, G., Olman, C., Naselaris, T. (2018) Human brain activity during mental imagery exhibits signatures of inference in a hierarchical generative model bioRxiv. [PDF]

Naselaris, T., Bassett, D.S., Fletcher, A.K., Kording, K., Kriegeskorte, N., Nienborg, H., Poldrack, R.A., Shohamy, D., Kay, K. (2018). Cognitive Computational Neuroscience: A New Conference for an Emerging Discipline. Trends in Cognitive Sciences, 22(5), 365–367. [PDF]

St-Yves, G., Naselaris, T. (2018) Generative Adversarial Networks Conditioned on Brain Activity Reconstruct Seen Images. bioRxiv. [PDF]

St-Yves, G., Naselaris, T. (2017) The feature-weighted receptive field: an interpretable encoding model for complex feature spaces. NeuroImage. [PDF]

Naselaris T., Kay K.N. (2015). Resolving ambiguities of MVPA using explicit models of representation. Trends in Cognitive Neurosciences 19(10): 551-554. [PDF]

Pearson J., Naselaris T., Holmes E.A., Kosslyn S.M. (2015). Mental imagery: Functional mechanisms and clinical applications. Trends in Cognitive Sciences 19(10): 590-602. [PDF]

Naselaris T, Olman C, Stansbury D., Ugurbil K., Gallant J. (2015). A voxel-wise encoding model for early visual areas decodes mental images of remembered scenes. NeuroImage 105: 215-228. [PDF]

Stansbury, D., Naselaris,T.,  Gallant, J. (2013) Natural scene statistics account for the representation of scene categories in human visual cortex. Neuron, 79, 1025-1034. [PDF]

Naselaris, T., Stansbury, D., Gallant, J.L. (2012) The representation of animate and inanimate objects in complex natural scenes. Journal of Physiology, Paris, 106, 239-249. [PDF]

Nishimoto, S., Vu., A.T., Naselaris, T., Benjamini, Y., Yu, B. Gallant, J.L. (2011) Reconstructing visual experiences from activity evoked by natural scenes. Current Biology, 21, 1641-1646. [PDF]

Vu, V.Q., Ravikumar, P., Naselaris, T., Kay, K.N., Gallant, J.L., Yu, B. (2011) Encoding and decoding V1 fMRI responses to natural images with sparse nonparametric models. Annals of Applied Statistics, Vol. 5, No. 2B, 1159-1182. [PDF]

Naselaris, T., Kay, K.N., Nishimoto, S., Gallant, J.L. (2011) Encoding and decoding in fMRI. NeuroImage, 56, 400-410. [PDF]

Naselaris, T., Prenger, R.J., Kay, K.N., Oliver, M.D., Gallant, J.L. (2009). Bayesian reconstruction of natural images from human brain activity. Neuron, 63, 902-915. [PDF]

Ravikumar, P., Vu, V. Q., Yu, B., Naselaris, T., Kay, K.N., and Gallant, J.L. (2009). Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images. Neural Information Processing Systems, 21, 1337-1344. [PDF]

Merchant H., Naselaris T., Georgopoulos, A.P. (2008). Dynamic sculpting of directional tuning in the primate motor cortex during three-dimensional reaching. Journal of Neuroscience, 28, 9164-9172. [PDF]

Kay, K.N., Naselaris, T., Prenger, R.J., Gallant, J.L. (2008). Identifying natural images from human brain activity. Nature, 452, 352-355. [PDF]

Georgopoulos, A.P., Merchant, H., Naselaris, T., Amirikian, B. (2007). Mapping of the preferred direction in the motor cortex. Proceedings of the National Academy of Sciences USA, 104, 11068-11072. [PDF]

Georgopoulos, A.P., Naselaris, T., Merchant, H., Amirikian, B. (2007). Reply to Kurtzer and Herter. Journal of Neurophysiology, 97, 4391-4392. [PDF]

Naselaris, T., Merchant, H., Amirikian, B., Georgopoulos, A.P. (2006) Large-scale organization of preferred directions in the motor cortex. I. Motor cortical hyperacuity for forward reaching. Journal of Neurophysiology, 96, 3231-3236. [PDF]

Naselaris, T., Merchant, H., Amirikian, B., Georgopoulos, A.P. (2006). Large-scale organization of preferred directions in the motor cortex. II. Analysis of local distributions. Journal of Neurophysiology, 96, 3237-3247. [PDF]

Naselaris, T., Merchant, H., Amirikian, B., Georgopoulos, A.P. (2004). Spatial reconstruction of trajectories of an array of recording microelectrodes. Journal of Neurophysiology, 93, 2318-2330. [PDF]