All Publications

2023

T. Bricken, Davies, X., Singh, D., Krotov, D., and Kreiman, G., “Sparse distributed memory is a continual learner”, International Conference on Learning Representations. Kigali, Rwanda, Africa, 2023.PDF icon 6086_sparse_distributed_memory_is_a.pdf (13.3 MB)
CBMM Funded
L. Melloni, Mudrik, L., Pitts, M., Bendtz, K., Ferrante, O., Gorska, U., Hirschhorn, R., Khalaf, A., Kozma, C., Lepauvre, A., Liu, L., Mazumder, D., Richter, D., Zhou, H., Blumenfeld, H., Boly, M., Chalmers, D. J., Devore, S., Fallon, F., de Lange, F. P., Jensen, O., Kreiman, G., Luo, H., Panagiotaropoulos, T. I., Dehaene, S., Koch, C., and Tononi, G., “An adversarial collaboration protocol for testing contrasting predictions of global neuronal workspace and integrated information theory”, PLOS ONE, vol. 18, no. 2, p. e0268577, 2023.PDF icon journal.pone_.0268577.pdf (1.99 MB)
CBMM Related
R. Francesco Srinivasan, Mignacco, F., Sorbaro, M., Refinetti, M., Kreiman, G., and Dellaferrera, G., “Forward learning with top-down feedback: empirical and analytical characterization”, arXiv, 2023.
CBMM Funded
C. Wang, Subramaniam, V., Yaari, A. Uri, Kreiman, G., Katz, B., Cases, I., and Barbu, A., “BrainBERT: Self-supervised representation learning for Intracranial Electrodes”, International Conference on Learning Representations. Kigali, Rwanda, Africa, 2023.PDF icon 985_brainbert_self_supervised_repr.pdf (9.71 MB)
CBMM Funded
Y. Xiao, Chou, C. - C., Cosgrove, G. Rees, Crone, N. E., Stone, S., Madsen, J. R., Reucroft, I., Shih, Y. - C., Weisholtz, D., Yu, H. - Y., Anderson, W. S., and Kreiman, G., “Cross-task specificity and within-task invariance of cognitive control processes”, Cell Reports, vol. 42, no. 1, p. 111919, 2023.PDF icon PIIS2211124722018174.pdf (3.97 MB)
CBMM Funded
Y. Zhang, Aghajan, Z. M., Ison, M., Lu, Q., Tang, H., Kalender, G., Monsoor, T., Zheng, J., Kreiman, G., Roychowdhury, V., and Fried, I., “Decoding of human identity by computer vision and neuronal vision”, Scientific Reports, vol. 13, no. 1, 2023.PDF icon s41598-022-26946-w.pdf (1.88 MB)
CBMM Funded

2022

M. Zhang, Armendariz, M., Xiao, W., Rose, O., Bendtz, K., Livingstone, M., Ponce, C., and Kreiman, G., “Look twice: A generalist computational model predicts return fixations across tasks and species”, PLOS Computational Biology, vol. 18, no. 11, p. e1010654, 2022.PDF icon journal.pcbi_.1010654.pdf (4.51 MB)
CBMM Funded
S. Casper, Nadeau, M., Hadfield-Menell, D., and Kreiman, G., “Robust Feature-Level Adversaries are Interpretability Tools”, NeurIPS. New Orleans, Louisiana, 2022.PDF icon 8789_robust_feature_level_adversari.pdf (3.79 MB)
CBMM Funded
G. Dellaferrera and Kreiman, G., “Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass”, Proceedings of the 39th International Conference on Machine Learning, PMLR, vol. 162. pp. 4937-4955, 2022.PDF icon dellaferrera22a.pdf (909.91 KB)
CBMM Funded
N. Shaham, Chandra, J., Kreiman, G., and Sompolinsky, H., “Stochastic consolidation of lifelong memoryAbstract”, Scientific Reports, vol. 12, no. 1, 2022.PDF icon s41598-022-16407-9.pdf (2.54 MB)
CBMM Funded
P. Nilchian, Wilson, M. A., and Sanders, H., “Animal-to-Animal Variability in Partial Hippocampal Remapping in Repeated Environments”, The Journal of Neuroscience, vol. 42, no. 26, pp. 5268 - 5280, 2022.PDF icon 5268.full_.pdf (2.97 MB)
CBMM Funded
J. Zheng, Schjetnan, A. G. P., Yebra, M., Gomes, B. A., Mosher, C. P., Kalia, S. K., Valiante, T. A., Mamelak, A. N., Kreiman, G., and Rutishauser, U., “Neurons detect cognitive boundaries to structure episodic memories in humans”, Nature Neuroscience, vol. 25, no. 3, pp. 358 - 368, 2022.
CBMM Funded
M. Armendariz, Xiao, W., Vinken, K., and Kreiman, G., “Do computational models of vision need shape-based representations? Evidence from an individual with intriguing visual perceptions”, Cognitive Neuropsychology, pp. 1 - 3, 2022.
CBMM Funded
A. Bardon, Xiao, W., Ponce, C. R., Livingstone, M. S., and Kreiman, G., “Face neurons encode nonsemantic features”, Proceedings of the National Academy of Sciences, vol. 119, no. 16, 2022.
CBMM Funded
L. A. Becker, Penagos, H., Flores, F. J., Manoach, D. S., Wilson, M. A., and Varela, C., “Eszopiclone and Zolpidem Produce Opposite Effects on Hippocampal Ripple DensityDataSheet1.docx”, Frontiers in Pharmacology, vol. 12, 2022.
CBMM Funded
S. Casper, Nadeau, M., and Kreiman, G., “One thing to fool them all: generating interpretable, universal, and physically-realizable adversarial features”, arXiv, 2022.PDF icon 2110.03605.pdf (6.7 MB)
CBMM Funded
A. Sikarwar and Kreiman, G., “On the Efficacy of Co-Attention Transformer Layers in Visual Question Answering”, arXiv, 2022.PDF icon On_the_Efficacy_of_Co-Attention_Transformer_Layers.pdf (35.54 MB)
CBMM Funded
Y. Xiao, Chou, C. - C., Cosgrove, G. Rees, Crone, N. E., Stone, S., Madsen, J. R., Reucroft, I., Shih, Y. - C., Weisholtz, D., Yu, H. - Y., Anderson, W. S., and Kreiman, G., “Task-specific neural processes underlying conflict resolution during cognitive control”, BioRxiv, 2022.PDF icon 2022.01.16.476535v1.full_.pdf (22.96 MB)
CBMM Funded

2021

D. S. Weisholtz, Kreiman, G., Silbersweig, D. A., Stern, E., Cha, B., and Butler, T., “Localized task-invariant emotional valence encoding revealed by intracranial recordingsAbstract”, Social Cognitive and Affective Neuroscience, 2021.
CBMM Related
S. Kant Gupta, Zhang, M., WU, C. H. I. A. - C. H. I. E. N., Wolfe, J., and Kreiman, G., “Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases”, NeurIPS 2021. 2021.PDF icon gk8091.pdf (2.47 MB)
CBMM Funded
H. L. Kosakowski, Cohen, M. A., Takahashi, A., Keil, B., Kanwisher, N., and Saxe, R., “Selective responses to faces, scenes, and bodies in the ventral visual pathway of infants”, Current Biology, vol. 32, 2021.
CBMM Funded
M. Schrimpf, Blank, I. Asher, Tuckute, G., Kauf, C., Hosseini, E. A., Kanwisher, N., Tenenbaum, J. B., and Fedorenko, E., “The neural architecture of language: Integrative modeling converges on predictive processing”, Proceedings of the National Academy of Sciences, vol. 118, no. 45, p. e2105646118, 2021.
CBMM Funded
P. Bomatter, Zhang, M., Karev, D., Madan, S., Tseng, C., and Kreiman, G., “When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes”, International Conference on Computer Vision (ICCV) . 2021.PDF icon Bomatter_When_Pigs_Fly_Contextual_Reasoning_in_Synthetic_and_Natural_Scenes_ICCV_2021_paper.pdf (3.24 MB)
CBMM Funded
J. Wang, Tao, A., Anderson, W. S., Madsen, J. R., and Kreiman, G., “Mesoscopic physiological interactions in the human brain reveal small-world properties”, Cell Reports, vol. 36, no. 8, p. 109585, 2021.
CBMM Funded
S. M. Landi, Viswanathan, P., Serene, S., and Freiwald, W. A., “A fast link between face perception and memory in the temporal pole”, Science, p. eabi6671, 2021.
CBMM Funded

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