All Publications

2020

CBMM Memo No.
113
A. Banburski, Gandhi, A., Alford, S., Dandekar, S., Chin, P., and Poggio, T., “Dreaming with ARC”, Learning Meets Combinatorial Algorithms workshop at NeurIPS 2020. 2020.PDF icon CBMM Memo 113.pdf (1019.64 KB)
CBMM Funded

2019

E. H. Patzelt, Kool, W., Millner, A. J., and Gershman, S. J., “Incentives Boost Model-Based Control Across a Range of Severity on Several Psychiatric Constructs”, Biological Psychiatry, vol. 85, no. 5, pp. 425 - 433, 2019.
CBMM Funded
E. H. Patzelt, Kool, W., Millner, A. J., and Gershman, S. J., “The transdiagnostic structure of mental effort avoidance”, Scientific Reports, vol. 9, no. 1, 2019.
CBMM Related
A. J. E. Kell and McDermott, J. H., “Deep neural network models of sensory systems: windows onto the role of task constraints”, Current Opinion in Neurobiology, vol. 55, pp. 121 - 132, 2019.
CBMM Related

2018

W. Kool and Botvinick, M., “Mental labour”, Nature Human Behaviour, vol. 2, no. 12, pp. 899 - 908, 2018.
CBMM Funded
W. Kool, Gershman, S. J., and Cushman, F. A., “Planning Complexity Registers as a Cost in Metacontrol”, Journal of Cognitive Neuroscience, vol. 30, no. 10, pp. 1391 - 1404, 2018.
CBMM Funded
W. Mlynarski and Hermundstad, A. M., “Adaptive Coding for Dynamic Sensory Inference”, eLife, 2018.
CBMM Funded
A. J. E. Kell, Yamins, D. L. K., Shook, E. N., Norman-Haignere, S. V., and McDermott, J. H., “A task-optimized neural network replicates human auditory behavior, predicts brain responses, and reveals a cortical processing hierarchy”, Neuron, vol. 98, 2018.
CBMM Related
W. Mlynarski and McDermott, J. H., “Learning Mid-Level Auditory Codes from Natural Sound Statistics”, Neural Computation, vol. 30, no. 3, pp. 631-669, 2018.
CBMM Funded
W. Mlynarski and McDermott, J. H., “Co-occurrence statistics of natural sound features predict perceptual grouping”, Computational and Systems Neuroscience (COSYNE). Denver, Colorado, 2018.
CBMM Funded
J. Traer and McDermott, J. H., “Human inference of force from impact sounds: Perceptual evidence for inverse physics”, Annual Meeting of the Acoustical Society, vol. 143, no. 3. 2018.
CBMM Related
W. Mlynarski and McDermott, J. H., “Co-occurrence statistics of natural sound features predict perceptual grouping”, Computational and Systems Neuroscience (Cosyne) 2018. 2018.
CBMM Funded
J. Traer and McDermott, J. H., “Human recognition of environmental sounds is not always robust to reverberation”, Annual Meeting of the Acoustical Society, vol. 143, no. 3. 2018.
CBMM Related

2017

W. Kool, Gershman, S. J., and Cushman, F. A., “Cost-Benefit Arbitration Between Multiple Reinforcement-Learning Systems.”, Psychol Sci, vol. 28, no. 9, pp. 1321-1333, 2017.
CBMM Funded
E. Schulz, Tenenbaum, J. B., Duvenaud, D., Speekenbrink, M., and Gershman, S. J., “Compositional inductive biases in function learning.”, Cogn Psychol, vol. 99, pp. 44-79, 2017.
CBMM Funded
R. Saxe and Houlihan, S. Dae, “Formalizing emotion concepts within a Bayesian model of theory of mind”, Current Option in Psychology, vol. 17, pp. 15-21, 2017.PDF icon 1-s2.0-S2352250X17300283-main.pdf (613.77 KB)
CBMM Funded
Z. Zhang, Wu, J., Li, Q., Huang, Z., Traer, J., McDermott, J. H., Tenenbaum, J. B., and Freeman, W. T., “Generative modeling of audible shapes for object perception”, in The IEEE International Conference on Computer Vision (ICCV), Venice, Italy, 2017.
CBMM Related
CBMM Memo No.
060
W. Mlynarski and McDermott, J. H., “Learning Mid-Level Auditory Codes from Natural Sound Statistics”. 2017.PDF icon MlynarskiMcDermott_Memo060.pdf (7.11 MB)
CBMM Funded
N. Dehghani, “Theoretical principles of multiscale spatiotemporal control of neuronal networks: a complex systems perspective”, 2017.PDF icon StimComplexity.pdf (218.1 KB)
CBMM Related
S. J. Gershman and Daw, N. D., “Reinforcement learning and episodic memory in humans and animals: an integrative framework”, Annual Review of Psychology, vol. 68, 2017.PDF icon GershmanDaw17.pdf (422.11 KB)
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
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
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

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