All Publications

2017

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. Kool, Gershman, S. J., and Cushman, F. A., “Thinking fast or slow? A reinforcement-learning approach”, Society for Personality and Social Psychology. San Antonio, TX, 2017.PDF icon KoolEtAl_SPSP_2017.pdf (670.35 KB)
CBMM Funded
C. Liu, Mao, J., Sha, F., and Yuille, A., “Attention Correctness in Neural Image Captioning”, in AAAI 2017, 2017.PDF icon 1605.09553.pdf (2.22 MB)
CBMM Funded
S. Liu, Ullman, T., Tenenbaum, J. B., and Spelke, E. S., “Ten-month-old infants infer value from effort”, SRCD. Austin, TX, 2017.
CBMM Funded
S. Liu, Ullman, T., Tenenbaum, J. B., and Spelke, E. S., “Ten-month-old infants infer value from effort”, Society for Research in Child Development. 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
H. Mhaskar, Liao, Q., and Poggio, T., “When and Why Are Deep Networks Better Than Shallow Ones?”, AAAI-17: Thirty-First AAAI Conference on Artificial Intelligence. 2017.
CBMM Funded
W. Mlynarski and McDermott, J. H., “Learning Mid-Level Codes for Natural Sounds”, Association for Otolaryngology Mid-Winter Meeting. 2017.
CBMM Funded
W. Mlynarski and McDermott, J. H., “Lossy Compression of Uninformative Stimuli in the Auditory System”, Association for Otolaryngology Mid-Winter Meeting. 2017.
CBMM Funded
W. Mlynarski and McDermott, J. H., “Adaptive Compression of Statistically Homogenous Sensory Signals”, Computational and Systems Neuroscience (COSYNE). 2017.
CBMM Funded
J. Mutch, Anselmi, F., Tacchetti, A., Rosasco, L., Leibo, J. Z., and Poggio, T., “Invariant Recognition Predicts Tuning of Neurons in Sensory Cortex”, in Computational and Cognitive Neuroscience of Vision, Springer, 2017, pp. 85-104.
CBMM Funded
G. Roig, Chen, F., Boix, X., and Poggio, T., “Eccentricity Dependent Deep Neural Networks for Modeling Human Vision”, Vision Sciences Society. 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. C. Spokes, Howard, R., Mehr, S. A., and Krasnow, M. M., “Like Adults, children make consistent welfare tradeoff allocations”, in Budapest CEU Conference on Cognitive Development, Budapest, Hungary, 2017.
CBMM Related
A. C. Spokes, Howard, R., Mehr, S. A., and Krasnow, M. M., “Like adults, children make consistent welfare tradeoff allocations”, Society for Research in Child Development Biennial Meeting. Austin, Texas, 2017.
CBMM Related
A. C. Spokes, Venkatesan, T., and Spelke, E. S., “Five-month-old infants attend to responsive caregivers”, Cognitive Development Society (CDS). Portland, OR, 2017.
CBMM Funded
A. C. Spokes and Spelke, E. S., “Four-year-old children favor kin when the stakes are higher”, Cognitive Development Society (CDS) . Portland, OR, 2017.
CBMM Funded
A. Tacchetti, Voinea, S., Evangelopoulos, G., and Poggio, T., “Representation Learning from Orbit Sets for One-shot Classification”, in AAAI Spring Symposium Series, Science of Intelligence, AAAI, 2017.
CBMM Funded
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
D. Theurel, “Modeling brain dynamics using mathematics from quantum mechanics”, Peter Chin's Lab, Boston University, vol. Boston University. 2017.
CBMM Related
J. Traer and McDermott, J. H., “Auditory Perception of Material and Force from Impact Sounds”, Annual Meeting of Association for Research in Otolaryngology. 2017.
CBMM Related

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