Publications Preprints: 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/ 2022 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. 2021 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. 2020 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. 2019 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. 2018 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. 2017 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] 2016 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. 2015 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] 2014 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. 2013 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. 2012 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. 2011 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. 2010 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. 2000s 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. *Copyright notice: The documents distributed here have been provided as a means to ensure timely dissemination of scholarly and technical work on a noncommercial basis. Your click on any of the links provided in this page constitutes your request to me for a personal copy of the linked article, and my delivery of a personal copy. Any other use is prohibited. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by these copyrights. These works may not be reposted without the explicit permission of the copyright holder.