Publications
2023
Tovar, A. E. & Westermann, G. (2023.). No Need to Forget, Just Keep the Balance: Hebbian Neural Networks for Statistical Learning. Cognition, 230, https://doi.org/10.1016/j.cognition.2022.105176
Tovar, Á. E., Torres-Chávez, Á., Mofrad, A. A., & Arntzen, E. (2023). Computational Models of Stimulus Equivalence: An Intersection for the Study of Symbolic Behavior. Journal of the Experimental Analysis of Behavior. 1-19. https://doi.org/10.1002/jeab.829
2022
Flores-Coronado, M., Tovar A. E., & Andrade-Morales, D. A prelinguistic shape bias emerges from visual statistical learning in a computational model. Contribution to Conference, Poster presented at Advances in Statistical Learning 2022. San Sebastian, Spain.
2021
Tovar, Á. E. & Torres-Chávez, A. (2021). Teaching symbolic relations in Down Syndrome through equivalence-based instruction: a case study. Mexican Journal of Behavior Analysis. Vol 47, 2, 368-391. https://doi.org/10.5514/rmac.v47.i2.81165
Sinsún-Medina, N., & Tovar A.E., Computational Analysis of Social Cues in the Response to Joint Attention. The More the Better. Contribution to Conference, Poster presented at Cognitinve Science Society, 2021.
Flores-Coronado, M., Andrade-Morales, D., & Tovar A. E. The Statistical Properties of Color and Shape of Objects in Visual Categorization. Contribution to Conference, Poster presented at Cognitinve Science Society, 2021.
Flores-Coronado, M., & Tovar A. E. Modelando el impacto de las palabras en la categorización de objetos.Contribution to Conference, X Coloquio de Lingüística Computacional (CoLiCo), Mexico.
2020
Tovar, A. E., A computational approach to perception and language in autism based on self-organizing maps. Contribution to Conference, Cognitinve Science Society, 2020
2019
Tovar, Á. E., Rodríguez-Granados, A. & Arias-Trejo, N. (2019). Atypical shape bias and categorization in autism: Evidence from children and computational simulations. Developmental Science. https://doi.org/10.1111/desc.12885
Tovar, A.E., Flores-Coronado, M., & Westermann, G. A neurocomputational model of unsupervised associative learning predicts successful and impaired statistical learning. Contribution to Conference, Poster presented at Advances in Statistical Learning 2019 San Sebastian, Spain.
Tovar, A.E. Modelo Computacional de aprendizaje Estadístico: Implicaciones en Procesamiento del Lenguaje. Contribution to Conference, SINCA, Mexico.
2018
Tovar, Á. E., Westermann, G., and Torres, A. (2018). From altered synaptic plasticity to atypical learning: a computational model of Down syndrome. Cognition, 171, 15-24. https://doi.org/10.1016/j.cognition.2017.10.021
Tovar, A. Moustafa, A. Arias-Trejo, N. (2018). Computational Approximations to Intellectual Disability in Down Syndrome. In Computational Models of Brain and Behavior. Ahmed Moustafa (Ed.) Wiley Blackwell. https://doi.org/10.1002/9781119159193.ch2
2017 and older
Tovar, A. E. & Westermann, G. (2017) A Neurocomputational Approach to Trained and Transitive Relations in Equivalence Classes. Frontiers in Psychology. 8:1848. https://doi.org/10.3389/fpsyg.2017.01848
Tovar, A., & Westermann, G. (2017). Computational Exploration of Lexical Development in Down Syndrome. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. J. Davelaar (Eds.), Proceedings of the 39th Annual Conference of the Cognitive Science Society (pp. 1199-1204). Austin, TX: Cognitive Science Society.
Tovar, A. E. & Torres, A. (2016). Formación de Conceptos y Categorización en Síndrome de Down: Estrategias de Investigación y Enseñanza. En Lenguaje y Cognición en el Síndrome de Down. N. Arias-Trejo & O. García (Eds.). México p. 184-210.
Tovar, A., Torres, A., & Ruiz, A. (2015). Effects of Verbal-Labeled Responses on Stimulus Class Formation in a Compound Stimulus Procedure. Mexican Journal of Behavior Analysis, 41, 68-85.
Tovar, A. & Torres, A. (2012). A Connectionist Model of Stimulus Class Formation with a YES/NO Procedure and Compound Stimuli. The Psychological Record, 62, 747-762. https://doi.org/10.1007/BF03395833