All Publications

2019

K. Ellis, Nye, M., Pu, Y., Sosa, F., Tenenbaum, J. B., and Solar-Lezama, A., “Write, Execute, Assess: Program Synthesis with a REPL”, Neural Information Processing Systems (NeurIPS 2019). Vancouver, Canada, 2019.PDF icon 9116-write-execute-assess-program-synthesis-with-a-repl.pdf (3.9 MB)
CBMM Funded
J. Feather, Durango, A., Gonzalez, R., and McDermott, J. H., “Metamers of neural networks reveal divergence from human perceptual systems”, NIPS 2019. Vancouver, Canada, 2019.PDF icon Feather_etal_2019_NeurIPS_metamers.pdf (4.7 MB)
CBMM Funded
C. Han, Mao, J., Gan, C., Tenenbaum, J. B., and Wu, J., “Visual Concept-Metaconcept Learning”, Neural Information Processing Systems (NeurIPS 2019). Vancouver, Canada, 2019.PDF icon 8745-visual-concept-metaconcept-learning.pdf (1.92 MB)
CBMM Funded
R. McWalter and McDermott, J. H., “Illusory sound texture reveals multi-second statistical completion in auditory scene analysis”, Nature Communications, vol. 10, no. 1, 2019.
CBMM Related
N. Muecke, Neu, G., and Rosasco, L., “Beating SGD Saturation with Tail-Averaging and Minibatching”, Neural Information Processing Systems (NeurIPS 2019). Vancouver, Canada, 2019.PDF icon 9422-beating-sgd-saturation-with-tail-averaging-and-minibatching.pdf (389.35 KB)
CBMM Funded
N. Pagliana and Rosasco, L., “Implicit Regularization of Accelerated Methods in Hilbert Spaces”, Neural Information Processing Systems (NeurIPS 2019). Vancouver, Canada, 2019.PDF icon 9591-implicit-regularization-of-accelerated-methods-in-hilbert-spaces.pdf (451.14 KB)
CBMM Funded
K. A. Smith, Mei, L., Yao, S., Wu, J., Spelke, E. S., Tenenbaum, J. B., and Ullman, T. D., “Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations”, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019). Vancouver, Canada, 2019.PDF icon ADEPT_NeurIPS.pdf (11.07 MB)
CBMM Funded
H. Stemmann and Freiwald, W. A., “Evidence for an attentional priority map in inferotemporal cortex”, Proceedings of the National Academy of Sciences, vol. 116, no. 47, pp. 23797 - 23805, 2019.
CBMM Related
C. Stephenson, Feather, J., Padhy, S., Elibol, O., Tang, H., McDermott, J. H., and Chung, S. Y., “Untangling in Invariant Speech Recognition”, Neural Information Processing Systems (NeurIPS 2019). Vancouver, Canada, 2019.PDF icon 9583-untangling-in-invariant-speech-recognition.pdf (2.09 MB)
CBMM Funded
L. A. Becker, Penagos, H., Manoach, D. S., Wilson, M. A., and Varela, C., “Disruption of CA1 Sharp-Wave Ripples by the nonbenzodiazepine hypnotic eszopiclone ”, in Society for Neuroscience, Chicago, IL, USA, 2019.
CBMM Funded
I. Dalla Betta, Cassara, A., Boyden, E. S., Brown, E. N., francisco,, and Flores, F. J., “In silico modeling of temporally interfering electric fields for deep brain stimulation ”, in Society for Neuroscience, Chicago, IL, USA, 2019.
CBMM Funded
J. Harrod, Purdon, P. L., Brown, E. N., and Flores, F. J., “Identification of vigilance states in freely behaving animals using thalamocortical activity and Deep Belief networks”, in Society for Neuroscience, 2019.
CBMM Funded
K. Kar and DiCarlo, J. J., “Evidence that recurrent pathways between the prefrontal and inferior temporal cortex is critical during core object recognition ”, in Society for Neuroscience, Chicago, IL, USA, 2019.
CBMM Funded
J. Kubilius, Schrimpf, M., Kar, K., Rajalingham, R., Hong, H., Majaj, N. J., Issa, E. B., Bashivan, P., Prescott-Roy, J., Schmidt, K., Nayebi, A., Bear, D., Yamins, D. L. K., and DiCarlo, J. J., “Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs”, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019). Vancouver, Canada, 2019.PDF icon 2019-10-28 NeurIPS-camera_ready.pdf (1.88 MB)
CBMM Funded
K. Dobs, Palmer, I. A., Yuan, J., Mohsenzadeh, Y., Oliva, A., and Kanwisher, N., “Effects of Face Familiarity in Humans and Deep Neural Networks ”, in European Conference on Visual Perception, Leuven, Belgium, 2019.
CBMM Funded
S. J. Gershman, “The Generative Adversarial Brain”, Frontiers in Artificial Intelligence, vol. 2, 2019.
CBMM Related
N. Jacoby, Undurraga, E. A., McPherson, M. J., Valdés, J., Ossandón, T., and McDermott, J. H., “Universal and Non-universal Features of Musical Pitch Perception Revealed by Singing”, Current Biology, 2019.
CBMM Funded
A. J. E. Kell and McDermott, J. H., “Invariance to background noise as a signature of non-primary auditory cortex”, Nature Communications, vol. 10, no. 1, 2019.
CBMM Related
Q. Liao, Banburski, A., and Poggio, T., “Theories of Deep Learning: Approximation, Optimization and Generalization ”, TECHCON 2019. 2019.
CBMM Funded
T. Marques and DiCarlo, J. J., “A meta-analysis of ANNs as models of primate V1 ”, in Bernstein, Berlin, Germany, 2019.
CBMM Funded
J. Traer, Cusimano, M., and McDermott, J. H., “A perceptually inspired generative model of rigid-body contact sounds”, Proceedings of the 22nd International Conference on Digital Audio Effects (DAFx-19), 2019.
CBMM Funded
W. Zarco and Freiwald, W. A., “Visual Features for Invariant Coding by Face Selective Neurons ”, in 2019 Conference on Cognitive Computational Neuroscience (CCN), Berlin, Germany, 2019.
CBMM Funded
CBMM Memo No.
101
H. Sanders, Wilson, M. A., and Gershman, S. J., “Hippocampal Remapping as Hidden State Inference”. 2019.PDF icon CBMM-Memo-101.pdf (12.78 MB)
CBMM Funded
CBMM Memo No.
100
T. Poggio, Banburski, A., and Liao, Q., “Theoretical Issues in Deep Networks”. 2019.PDF icon CBMM Memo 100 v1 (1.71 MB)PDF icon CBMM Memo 100 v3 (8/25/2019) (1.31 MB)PDF icon CBMM Memo 100 v4 (11/19/2019) (1008.23 KB)
CBMM Funded
CBMM Memo No.
099
A. Adler, Wax, M., and Pantazis, D., “Brain Signals Localization by Alternating Projections”, arXiv. 2019.PDF icon CBMM-Memo-099.pdf (421.67 KB)
CBMM Funded

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