Bibliography

1

M. Jones, B. C. Love, and W. T. Maddox. Recency effects as a window to generalization: separating decisional and perceptual sequential effects in category learning. Journal of Experimental Psychology: Learning, Memory, & Cognition, 32:316–332, 2006.

2

M. Jones, W. T. Maddox, and B. C. Love. The role of similarity in generalization. In Proceedings of the 28th Annual Meeting of the Cognitive Science Society, 405–410. 2006.

3

Nikolaus Kriegeskorte, Marieke Mur, and Peter Bandettini. Representational similarity analysis - connecting the branches of systems neuroscience. Frontiers in Systems Neuroscience, 2:4, 2008. URL: https://www.frontiersin.org/article/10.3389/neuro.06.004.2008, doi:10.3389/neuro.06.004.2008.

4

R Duncan Luce. Individual choice behavior: A theoretical analysis. Wiley, New York, NY, 1959.

5

Robert M Nosofsky. Attention, similarity, and the identification-categorization relationship. Journal of Experimental Psychology: General, 115:39–57, 1986.

6

Brett D. Roads and Bradley C. Love. Enriching imagenet with human similarity judgments and psychological embeddings. In Proceedings of the 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 3547–3557. 6 2021. doi:10.1109/CVPR46437.2021.00355.

7

Brett D. Roads and Michael C. Mozer. Obtaining psychological embeddings through joint kernel and metric learning. Behavior Research Methods, 51:2180––2193, 2019. doi:10.3758/s13428-019-01285-3.

8

Brett D. Roads and Michael C. Mozer. Predicting the ease of human category learning using radial basis function networks. Neural Computation, 33(2):376–397, 2021. doi:10.1162/neco_a_01349.

9

R. N. Shepard. Toward a universal law of generalization for psychological science. Science, 237:1317–1323, 1987.

10

Roger N Shepard and Susan Chipman. Second-order isomorphism of internal representations: shapes of states. Cognitive Psychology, 1(1):1 – 17, 1970. doi:https://doi.org/10.1016/0010-0285(70)90002-2.

11

L. van der Maaten and K. Weinberger. Stochastic triplet embedding. In Machine Learning for Signal Processing (MLSP), 2012 IEEE International Workshop on, 1–6. Sept 2012. doi:10.1109/MLSP.2012.6349720.

12

C. Wah, S. Branson, P. Welinder, P. Perona, and S. Belongie. The Caltech-UCSD Birds-200-2011 Dataset. Technical Report CNS-TR-2011-001, California Institute of Technology, 2011.