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Rutgers Center for Cognitive Science | Jacob Feldman
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Rutgers Center for Cognitive Science
Jacob Feldman

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Jacob Feldman

 

Professor 

Dept. of Psychology
Rutgers Center for Cognitive Science
Rutgers University - New Brunswick
152 Frelinghuysen Rd.
Piscataway, NJ 08854

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Research Interests:

Computational models and empirical studies of human visual perception and concept learning, including perceptual organization, grouping, and shape.


Selected recent papers: 

  • Feldman, J. (in press). Probabilistic origins of compositional mental representations. Psychological Review

  • Destler, N., Singh, M. and Feldman, J. (in press). Skeleton-based shape similarity. Psychological Review. 

  • Feldman, J. and Choi, L.-S. (2022). Meaning and reference from a probabilistic point of view. Cognition, 223, 105058.

  • Feldman, J. (2021). Information-theoretic signal detection theory. Psychological Review, 128(5), 976-987. 

  • Feldman, J. (2021). Mutual information and categorical perception. Psychological Science, 32(8) 1298-1310.


Selected older papers:

  • Froyen, V., Feldman, J. and Singh, M. (2015). Bayesian Hierarchical Grouping: perceptual grouping as mixture estimation. Psychological Review, 122(4), 575-597.

  • Pantelis, P. C., Baker, C., Cholewiak, S., Sanik, K., Weinstein, A., Wu, C.-C., Tenenbaum, J. B. and Feldman, J. (2014) Inferring the intentional states of autonomous virtual agents. Cognition, 130, 360–379.

  • Feldman, J. (2012) Symbolic representation of probabilistic worlds. Cognition, 123, 61–83. 

  • Mathy, F. and Feldman, J. (2012) What’s magic about magic numbers? Chunking and data compression in short-term memory. Cognition, 122, 346–362.

  • Feldman, J. and Singh, M. (2006) Bayesian estimation of the shape skeleton. PNAS, 103(47), 18014–18019.  Shape toolbox software

  • Feldman, J. (2000) Minimization of Boolean complexity in human concept learning. Nature, 407, 630–633.

 

Subcategories

Fall 2018

Spring 2018

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Psychology Building Addition
152 Frelinghuysen Road
Piscataway, NJ 08854-8020

Phone:

  • 848-445-1625
  • 848-445-6660
  • 848-445-0635

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  • 732-445-6715
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