THEORY
Leite, S., Mota, B., Ramos Silva, A., Thornton, A. (2025). Power Law Scalling Represents Hierarchical Structural Growth in Biologically Inspired Neural Networks Learning and Development. Accepted for Presentation at the Society for Neuroscience Conference.
Leite, S, Mota, B., Ramos Silva, A., Lamport Commons, M., Miller, P., Pereira Rodrigues, P. (2023). Hierarchical growth in neural networks structure: Organizing inputs by order of hierarchical complexity. PLoS One, DOI: 10.1371/journal.pone.0290743
Leite, S., Mota, B., Ramos-Silva, A., Miller, P., Lamport-Commons, M., Pereira-Rodrigues, P (2023). Simulation of developmental transitions below and above formal reasoning in a neural network model. Book of Proceedings of InPACT Conference PsychologicalApplications and Trends. DOI: 10.36315/2023inpact068
Leite, S. (2019). Foundation of a Hierarchical Stacked Neural Networks Model for Simulating Cognitive Development. PhD Thesis. Faculty of Engineering, University of Porto.
Leite, S., (2016). Successes in Cultural Evolution Raises the Variability in Humans’ Highest Stage Attained. Behav. Dev. Bull. 21(2), 165–175. DOI: 10.1037/bdb0000033
Leite, S., Barker, C.D., Lucas, M.G. (2016). Neural Correlates of Postformal Stages of Reasoning: Biological Determinants of Developmental Stage. Behav. Dev. Bull., vol. 21(1), 33–43. DOI: 10.1037/bdb0000012
Ribeirinho Leite, S., Commons, M. L., Miller, P. M., Ramos Silva, A. (in press). The Model of Hierarchical Complexity: Implications for Understanding Wisdom. In Stevens-Long, J., Lynam, A., Kalio, E. K. (Eds.) The International Handbook of Adult Development and Wisdom. Harvard University.
TEACHING
Invited Lecturer at the Seminars of the Doctoral Program in Data Science for Health, Faculty of Medicine University of Porto “Neural networks algorithm based on human development to extract increasingly complex knowledge” (2023)
Invited Lecturer at the Seminars of the Doctoral Program in Psychology, Faculty of Psychology and Education Sciences, University of Porto “Neural networks algorithm based on human development to extract increasingly complex knowledge” (2023)
APPLICATIONS
Raposo, G., Araújo, N., Parente, M., Lopes, A. M., Santos, A., Pereira, F., Leite, S., Ramos Silva, A. (2025). Personalizing Industrial Maintenance Operation Using the Model of Hierarchical Complexity. Journal of Manufacturing and Materials Processing, DOI: 10.3390/jmmp9040132
Barros Neves, R., Ribeirinho Leite, S., Ramos Silva, A., Mesquita Vasconcelos, H. (2023). Development of a Virtual System to Analyze the Learning of 3D Shapes, World Futures. DOI: 10.1080/02604027.2022.2161087
Duran, R., Sorva, J., Leite, S. (2018). Towards an Analysis of Program Complexity From a Cognitive Perspective. In ICER ’18: 2018 International Computing Education Research Conference, August 13–15, 2018, Espoo, Finland. ACM, New York, NY, USA, 10 pages. DOI: 10.1145/ 3230977.3230986
Ramos Silva, A. (2020). Modelling human decision making in chess using the self-stacked system architecture. II Chess Researchers International Meeting, online conference.
Ramos Silva, A., Leite, S., Natal, R., & Mendes, J. (2022). Neural networks used in a virtual environment to validate a training strategy based on human development. Advances and Current Trends in Biomechanics: Proceedings of the 9th Portuguese Congress on Biomechanics.