F. A., Vukovich, L., & Ashby, F. G. (in revision). Linking signal
detection theory and encoding models to reveal independent neural
representations from neuroimaging data. bioRxiv 254995
Soto, F. A., & Ashby, F. G. (in preparation). Novel
representations that support rule-based categorization are learned
on-the-fly during category learning.
Soto, F. A. (in preparation). Classification images reveal how
categorization training changes the visual representation of face
Accepted and/or Published*:
Perez-Riveros, O., San Martin, R., & Soto, F. A. (in press).
Exploring the effect of stimulus similarity on the summation effect in
causal learning. Experimental Psychology. bioRxiv 178954
Soto, F. A. (in press). Contemporary associative learning theory predicts failures to obtain blocking. Comment on Maes et al. (2016). Journal of Experimental Psychology: General.
O., Aitken, M. R. F., Zhukovsky, P., Soto, F. A., Urcelay, G. P., &
Dickinson, A. (in press). Human instrumental performance in ratio
and interval contingencies: a challenge for associative theory. Quarterly Journal of Experimental Psychology.
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,
Soto, F. A., & Ashby, F. G. (2015). Categorization
training increases the perceptual separability of novel dimensions.
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
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),
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,
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,
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),
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),
Soto, F. A., & Wasserman, E. A. (2010). Missing the forest for the
trees: Object discrimination learning blocks categorization learning. Psychological Science, 21(10),
Soto, F. A., & Wasserman, E. A. (2010). Comparative vision science:
Seeing eye to eye? Comparative
Cognition and Behavior
Soto, F. A., & Wasserman, E. A. (2010). Error-driven learning in
visual categorization and object recognition: A common elements model. Psychological Review, 117(2),
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),
Soto, F. A., Vogel, E. H., Castillo, R. D., & Wagner, A. R.
(2009). Generality of the summation effect in human causal
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,
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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