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Soto, F. A., & Narasiwodeyar, S. (in revision). Improving the validity of neuroimaging decoding tests of invariant and configural neural representation. https://www.biorxiv.org/content/10.1101/2020.02.27.967505v2

Hosseini. S., & Soto, F. A., (submitted). Multidimensional signal detection modeling reveals holistic perception of face emotion and identity. https://psyarxiv.com/vfhk9

Martin, E. R., Hays, J., & Soto, F. A., (submitted). Face shape and motion are perceptually separable: Support for a revised model of face processing. https://psyarxiv.com/jfy93/


Pournaghdali, A., Schwartz, B. L., Hays, J., & Soto, F. A. (in press). Sensitivity vs. awareness curve: A novel model-based analysis to uncover the processes underlying nonconscious perception. Psychonomic Bulletin & Review.

Perez, O. D., Vogel, E. H., Narasiwodeyar, S., & Soto, F. A. (in press). Sub-sampling of cues in associative learning. Learning & Memory.

Soto, F. A., & Ashby, F.  G. (in press). Encoding models in neuroimaging. In F. G. Ashby, H. Colonius, & E. Dzhafarov (Eds.) The new handbook of mathematical psychology, Volume 3. Cambridge University Press.
LyX Document


Soto, F. A., Stewart, R. A., Hosseini, S., Hays, J., & Beevers, C. G. (2021). A computational account of the mechanisms underlying face perception biases in depression. Journal of Abnormal Psychology, 130(5), 443-454.


Soto, F. A., Escobar, K., & Salan, J. (2020). Adaptation aftereffects reveal how categorization training changes the encoding of face identity. Journal of Vision, 20, 18.

Hays, J., Wong, C., & Soto, F. A. (2020). FaReT: A free and open-source toolkit of three-dimensional models and software to study face perception. Behavior Research Methods, 52(6), 2604-2622.
[Python code]

Perez, O. D., & Soto, F. A. (2020). Evidence for a dissociation between causal beliefs and instrumental actions. Quarterly Journal of Experimental Psychology, 73(4), 495-503.


Soto, F. A. (2019). Beyond the "conceptual nervous system": Can computational cognitive neuroscience transform learning theory? Behavioural Processes, 167, 103908.

Soto, F. A. (2019). Categorization training changes the visual representation of face identity. Attention, Perception, & Psychophysics, 81(5), 1220-1227. [data and materials]

Soto, F. A., & Ashby, F. G. (2019). Novel representations that support rule-based categorization are learned on-the-fly during category learning. Psychological Research, 83(3), 544-566.

Perez-Riveros, O., Aitken, M. R. F., Zhukovsky, P., Soto, F. A., Urcelay, G. P., & Dickinson, A. (2019). Human instrumental performance in ratio and interval contingencies: a challenge for associative theory. Quarterly Journal of Experimental Psychology, 72(2), 311-321.


Soto, F. A., Vukovich, L., & Ashby, F. G. (2018). Linking signal detection theory and encoding models to reveal independent neural representations from neuroimaging data. PLoS Computational Biology, 14(10), e1006470.

Perez-Riveros, O., San Martin, R., & Soto, F. A. (2018). Exploring the effect of stimulus similarity on the summation effect in human causal learning. Experimental Psychology, 65(4), 183-200.

Soto, F. A. (2018). Contemporary associative learning theory predicts failures to obtain blocking. Comment on Maes et al. (2016). Journal of Experimental Psychology: General, 147(4), 597-602.


Soto, F. A., Zheng, E., & Ashby, F. G. (2017). Testing separability and independence of perceptual dimensions with general recognition theory: A tutorial and new R package (grtools). Frontiers in Psychology, 8:696. [R code]


Soto, F. A., Bassett, D. S., & Ashby, F. G. (2016). Dissociable changes in functional network topology underlie early category learning and development of automaticity. NeuroImage, 141, 220-241.

Ashby, F. G., & Soto, F. A. (2016). The neural basis of general recognition theory. In J. W. Houpt and L. M. Blaha (Eds.), Mathematical models of perception and cognition, Volume II: A festschrift for James T. Townsend (pp. 1-31). Routledge: New York, NY.

Soto, F. A., & Wasserman, E. A. (2016). Promoting rotational-invariance in object recognition despite experience with only a single view. Behavioural Processes, 123, 107-113.


Soto, F. A., Quintana, G. R., Ponce, F. P., Perez, A. M., Vogel, E. H. (2015). Why are some dimensions integral? Testing two hypotheses through causal learning experiments. Cognition, 143, 163-177.

Soto, F. A., & Ashby, F. G. (2015). Categorization training increases the perceptual separability of novel dimensions. Cognition, 139, 105-129.

Soto, F. A., Musgrave, R., Vucovich, L., & Ashby, F. G. (2015). General recognition theory with individual differences: A new method for examining perceptual and decisional interactions with an application to face perception. Psychonomic Bulletin & Review, 22(1), 88-111. [R code]

Ashby, F. G., & Soto, F. A. (2015). Multidimensional signal detection theory. In J. R. Busemeyer, J. T. Townsend, Z. J. Wang, & A. Eidels (Eds.), Oxford handbook of computational and mathematical psychology (pp. 13-34). Oxford University Press: New York, NY. [R code]


Soto, F. A., & Wasserman, E. A. (2014). Mechanisms of object recognition: What we have learned from pigeons. Frontiers in Neural Circuits, 8:22.

Soto, F. A., Gershman, S. J., & Niv, Y. (2014). Explaining compound generalization in associative and causal learning through rational principles of dimensional generalization. Psychological Review, 121(3), 526-558.


Soto, F. A., Waldschmidt, J. G., Helie, S., & Ashby, F. G. (2013).  Brain activity across the development of automatic categorization: A comparison of categorization tasks using multi-voxel pattern analysis. NeuroImage, 71, 284-297.


Soto, F. A., Siow, J. Y. M., & Wasserman, E. A. (2012). View invariance learning in object recognition by pigeons depends on error-driven associative learning processes. Vision Research, 62, 148-161.

Soto, F. A., & Wasserman, E. A. (2012). A category-overshadowing effect in pigeons: Support for the Common Elements Model of object categorization learning. Journal of Experimental Psychology: Animal Behavior Processes, 38(3), 322-328.

Soto. F. A., & Wasserman, E. A. (2012). Categorical learning in pigeons. In N. Seel (Ed.), Encyclopedia of the Sciences of Learning (pp. 512-515). Springer: Boston, MA.

Soto, F. A., & Wasserman, E. A. (2012). Visual object categorization in birds and primates: Integrating behavioral, neurobiological, and computational evidence within a “general process” framework. Cognitive, Affective, and Behavioral Neuroscience, 12(1), 220-240.


Soto, F. A., & Wasserman, E. A. (2011). Asymmetrical interactions in the perception of face identity and emotional expression are not unique to the primate visual system. Journal of Vision, 11(3), 1, 1-18.


Lazareva. O. F., Soto, F. A., & Wasserman, E. A. (2010). Effect of between-category similarity on basic-level superiority in pigeons. Behavioural Processes, 85(3), 236-245.

Soto, F. A., & Wasserman, E. A. (2010). Missing the forest for the trees: Object discrimination learning blocks categorization learning. Psychological Science, 21(10), 1510-1517.

Soto, F. A., & Wasserman, E. A. (2010). Comparative vision science: Seeing eye to eye? Comparative Cognition and Behavior Reviews, 5, 148-154.

Soto, F. A., & Wasserman, E. A. (2010). Error-driven learning in visual categorization and object recognition: A common elements model. Psychological Review, 117(2), 349-381.

Soto, F. A., & Wasserman, E. A. (2010). Integrality/separability of stimulus dimensions and multidimensional generalization in Pigeons. Journal of Experimental Psychology: Animal Behavior Processes, 36(2), 194-205.


Soto, F. A., Vogel, E. H., Castillo, R. D., & Wagner, A. R. (2009).  Generality of the summation effect in human causal learning. Quarterly Journal of Experimental Psychology, 62(5), 877-889.

Vogel, E., Soto, F. A., Castro, M. E., & Solar, P. (2007). Stimulus specificity in the acquisition and extinction of conditioned taste aversion. Biological Research, 40, 123-129.

Vogel, E. H., Castro, M. E., Solar, P., & Soto, F. A. (2007). Enhancement of Pavlovian conditioned immunosuppression in rats. Acta Neurobiologiae Experimentalis, 67, 71-81.

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