All Publications

2017

M. J. Arcaro, Schade, P. F., Vincent, J. L., Ponce, C. R., and Livingstone, M. S., “Seeing faces is necessary for face-domain formation”, Nature Neuroscience, vol. 5631628, 2017.
CBMM Related
H. Lin and Tegmark, M., “Why does deep and cheap learning work so well?”, Journal of Statistical Physics, vol. 168, no. 6, pp. 1223–1247, 2017.PDF icon 1608.08225.pdf (2.14 MB)
CBMM Related
L. Jing, Shen, Y., Dubček, T., Peurifoi, J., Skirlo, S., LeCun, Y., Tegmark, M., and Soljačić, M., “Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNN”, 34th International Conference on Machine Learning, vol. 70. pp. 1733-1741 , 2017.PDF icon 1612.05231.pdf (2.3 MB)
CBMM Related
S. M. Landi and Freiwald, W. A., “Two areas for familiar face recognition in the primate brain”, Science, vol. 357, no. 6351, pp. 591 - 595, 2017.PDF icon 591.full_.pdf (928.29 KB)
CBMM Funded
G. Kreiman, “A null model for cortical representations with grandmothers galore”, Language, Cognition and Neuroscience, pp. 274 - 285, 2017.
CBMM Funded
H. Penagos, Varela, C., and Wilson, M. A., “Oscillations, neural computations and learning during wake and sleep”, Current Opinion in Neurobiology, vol. 44C, no. June 2017, 2017.
CBMM Funded
I. Yildirim, Janner, M., Belledonne, M., Wallraven, C., Freiwald, W. A., and Tenenbaum, J. B., “Causal and compositional generative models in online perception”, 39th Annual Meeting of the Cognitive Science Society - COGSCI 2017. London, UK, 2017.
CBMM Related
J. Sliwa and Freiwald, W. A., “A Dedicated Network for Social Interaction Processing in the Primate Brain”, Science, vol. Vol. 356, no. Issue 6339, pp. pp. 745-749, 2017.
CBMM Funded
S. Sadagopan, Zarco, W., and Freiwald, W. A., “A Causal Relationship Between Face-Patch Activity and Face-Detection Behavior”, eLife, 2017.PDF icon elife-18558-v1.pdf (813.71 KB)
CBMM Funded
CBMM Memo No.
065
N. Cheney, Schrimpf, M., and Kreiman, G., “On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations”. 2017.PDF icon CBMM-Memo-065.pdf (687.76 KB)
CBMM Related
CBMM Memo No.
064
W. Lotter, Kreiman, G., and Cox, D., “Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning”. 2017.PDF icon CBMM-Memo-064.pdf (3 MB)
CBMM Funded
Z. Chen and Wilson, M. A., “Deciphering neural codes of memory during sleep”, Trends in Neurosciences, 2017.PDF icon proof (2.98 MB)
CBMM Funded
L. Isik, Singer, J., Madsen, J., Kanwisher, N., and Kreiman, G., “What is changing when: Decoding visual information in movies from human intracranial recordings”, Neuroimage, 2017.
CBMM Funded
W. Lotter, Kreiman, G., and Cox, D., “Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning”, in ICLR, 2017.PDF icon 1605.08104.pdf (2.9 MB)
CBMM Funded
E. Meyers, “A Data Science approach to analyzing neural data”, in Joint Statistical Meetings, 2017.
CBMM Funded
J. Sliwa and Freiwald, W. A., “From agents to actions to interactions: Uncovering multiple social networks in the primate brain”, Society for Social and Affective Neuroscience. 2017.
CBMM Related
J. Sliwa, Marvel, S. R., and Freiwald, W. A., “Comparing human and monkey neural circuits for processing social scenes”, Society for Neuroscience's Annual Meeting - SfN 2017. 2017.
CBMM Related
J. Sliwa and Freiwald, W. A., “A Network for Social interaction understanding in the primate brain”, Organization for Human Brain Mapping - OHBM 2017. Vancouver, Canada, 2017.
CBMM Related
A. Tacchetti, Isik, L., and Poggio, T., “Invariant recognition drives neural representations of action sequences”, PLoS Comp. Bio, 2017.
CBMM Funded
B. Telenczuk, Dehghani, N., Le Van Quyen, M., Cash, S., Halgren, E., Hatsopoulos, N., and Destexhe, A., “Local field potentials primarily reflect inhibitory neuron activity in human and monkey cortex”, Nature Scientific Reports, 2017.PDF icon srep40211.pdf (2.53 MB)
CBMM Related
C. Varela and Wilson, M. A., “Thalamic contribution to CA1-mPFC interactions during sleep”, Society for Neuroscience's Annual Meeting - SfN 2017. Washington, DC, 2017.File AbstractSFNfinal.docx (13.14 KB)
CBMM Related
H. Tang, Kreiman, G., and Zhao, Q., “Recognition of occluded objects”, in Computational and Cognitive Neuroscience of Vision, Springer Singapore, 2017.
CBMM Funded

2016

B. Katz and Barbu, A., “A look back at the June 2016 BMM Workshop in Sestri Levante, Italy”. 2016.PDF icon Sestri Levante Review (359.33 KB)
CBMM Funded
H. Tang, Singer, J., Ison, M. J., Pivazyan, G., Romaine, M., Frias, R., Meller, E., Boulin, A., Carroll, J., Perron, V., Dowcett, S., Arellano, M., and Kreiman, G., “Predicting episodic memory formation for movie events”, Scientific Reports, no. 1, 2016.
Z. Chen, Linderman, S. W., and Wilson, M. A., “Bayesian nonparametric methods for discovering latent structures of rat hippocampal ensemble spikes”, in IEEE Workshop on Machine Learning for Signal Processing, Salerno, Italy, 2016.PDF icon MLSP16 (1).pdf (1.04 MB)
CBMM Funded

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