All Publications

2023

X. Puig, Shu, T., Tenenbaum, J. B., and Torralba, A., “NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants”, in 2023 IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, 2023.
CBMM Related
CBMM Memo No.
142
Y. Xie, Li, Y., and Rangamani, A., “Skip Connections Increase the Capacity of Associative Memories in Variable Binding Mechanisms”. 2023.PDF icon CBMM-Memo-142.pdf (1.64 MB)
CBMM Funded
Y. Xiang, Vélez, N., and Gershman, S. J., “Collaborative decision making is grounded in representations of other people’s competence and effort.”, Journal of Experimental Psychology: General, vol. 152, no. 6, pp. 1565 - 1579, 2023.
CBMM Funded
S. J. Gershman and Ullman, T. D., “Causal implicatures from correlational statements”, PLOS ONE, vol. 18, no. 5, p. e0286067, 2023.
CBMM Funded
N. Vélez, Chen, A. M., Burke, T., Cushman, F. A., and Gershman, S. J., “Teachers recruit mentalizing regions to represent learners’ beliefs”, Proceedings of the National Academy of Sciences, vol. 120, no. 22, 2023.
CBMM Funded
D. Lagomarsino-Oneto, Meanti, G., Pagliana, N., Verri, A., Mazzino, A., Rosasco, L., and Seminara, A., “Physics informed machine learning for wind speed prediction”, Energy, vol. 268, p. 126628, 2023.
CBMM Funded
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
S. J. Gershman and Cikara, M., “Structure learning principles of stereotype change”, Psychonomic Bulletin & Review, vol. 30, no. 4, pp. 1273 - 1293, 2023.
CBMM Funded
N. Kanwisher, Khosla, M., and Dobs, K., “Using artificial neural networks to ask ‘why’ questions of minds and brains”, Trends in Neurosciences, vol. 46, no. 3, pp. 240 - 254, 2023.
CBMM Related
H. L. Kosakowski, Norman‐Haignere, S., Mynick, A., Takahashi, A., Saxe, R., and Kanwisher, N., “Preliminary evidence for selective cortical responses to music in one‐month‐old infants”, Developmental Science, 2023.PDF icon Developmental Science - 2023 - Kosakowski - Preliminary evidence for selective cortical responses to music in one‐month‐old.pdf (2.6 MB)
CBMM Funded
V. Subramaniam, Conwell, C., Wang, C., Kreiman, G., Katz, B., Cases, I., and Barbu, A., “Using Multimodal DNNs to Study Vision-Language Integration in the Brain”, in ICLR 2023, 2023.
CBMM Funded
M. S. Tomov, Tsividis, P. A., Pouncy, T., Tenenbaum, J. B., and Gershman, S. J., “The neural architecture of theory-based reinforcement learning”, Neuron, vol. 111, no. 8, pp. 1331 - 1344.e8, 2023.
CBMM Funded
A. Zador, Escola, S., Richards, B., Ölveczky, B., Bengio, Y., Boahen, K., Botvinick, M., Chklovskii, D., Churchland, A., Clopath, C., DiCarlo, J., Ganguli, S., Hawkins, J., Körding, K., Koulakov, A., LeCun, Y., Lillicrap, T., Marblestone, A., Olshausen, B., Pouget, A., Savin, C., Sejnowski, T., Simoncelli, E., Solla, S., Sussillo, D., Tolias, A. S., and Tsao, D., “Catalyzing next-generation Artificial Intelligence through NeuroAIAbstract”, Nature Communications, vol. 14, no. 1, 2023.
CBMM Funded
CBMM Memo No.
141
A. Rangamani, Lindegaard, M., Galanti, T., and Poggio, T., “Feature learning in deep classifiers through Intermediate Neural Collapse”. 2023.PDF icon Feature_Learning_memo.pdf (2.16 MB)
CBMM Funded
H. Azami, Moguilner, S., Penagos, H., Sarkis, R. A., Arnold, S. E., Gomperts, S. N., and Lam, A. D., “EEG Entropy in REM Sleep as a Physiologic Biomarker in Early Clinical Stages of Alzheimer’s Disease”, Journal of Alzheimer's Disease, vol. 91, no. 4, pp. 1557 - 1572, 2023.
CBMM Related
N. Kanwisher, Gupta, P., and Dobs, K., “CNNs reveal the computational implausibility of the expertise hypothesis”, iScience, vol. 26, no. 2, p. 105976, 2023.
CBMM Funded
G. Kreiman, “Neural coding: Stimulating cortex to alter visual perception”, Current Biology, vol. 33, no. 3, pp. R117 - R118, 2023.
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
R. Tejwani, Kuo, Y. - L., Shu, T., Stankovits, B., Gutfreund, D., Tenenbaum, J. B., Katz, B., and Barbu, A., “Zero-shot linear combinations of grounded social interactions with Linear Social MDPs”, in Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), 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
B. M. Woo and Spelke, E. S., “Infants and toddlers leverage their understanding of action goals to evaluate agents who help others”, Child Development, 2023.
CBMM Funded
W. Xiao, Sharma, S., Kreiman, G., and Livingstone, M. S., “Out of sight, out of mind: Responses in primate ventral visual cortex track individual fixations during natural vision”, bioRxiv, 2023.
CBMM Funded
Z. Sage Chen and Wilson, M. A., “How our understanding of memory replay evolves”, Journal of Neurophysiology, vol. 129, no. 3, pp. 552 - 580, 2023.
CBMM Related
M. J. Lee and DiCarlo, J. J., “An empirical assay of view-invariant object learning in humans and comparison with baseline image-computable models”, bioRxiv, 2023.
CBMM Related

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