Publications

\(\dagger\) Equal contribution.

Research Articles

Fang, M. \(\dagger\), Mao, J.\(\dagger\), Donner, T. H., & Stocker, A. A. (2026). The resource-rational dynamics of evidence accumulation. bioRxiv.

Fajardo, G. \(\dagger\), Fang, M. \(\dagger\), & Anzellotti, S. (2025). Distinct portions of superior temporal sulcus combine auditory representations with different visual streams. Journal of Neuroscience.

Fang, M., Aglinskas, A., Li, Y., & Anzellotti, S. (2023). Angular gyrus responses show joint statistical dependence with brain regions selective for different categories. Journal of Neuroscience.

Fang, M., Poskanzer, C., & Anzellotti, S. (2023). Multivariate connectivity: A brief introduction and an open question. Frontiers in Neuroscience.

Poskanzer, C., Fang, M., Aglinskas, A., & Anzellotti, S. (2022). Controlling for spurious nonlinear dependence in connectivity analyses. Neuroinformatics.

Fang, M., Poskanzer, C., & Anzellotti, S. (2022). PyMVPD: A toolbox for multivariate pattern dependence. Frontiers in Neuroinformatics.

Sun, Y., Fang, M., & Wang, X. (2018). A novel stock recommendation system using Guba sentiment analysis. Personal and Ubiquitous Computing.

Conference Posters

Fang, M., & Stocker, A. A. (2025). Categorical Representations in Sequential Evidence Accumulation. Annual Meeting of the Vision Sciences Society 2025.

Fang, M., Mao, J., Donner, T. H., & Stocker, A. A. (2024). Sequential evidence accumulation is a resource-rational process. Annual Meeting of the Vision Sciences Society 2024.

Fang, M., Mao, J., Donner, T. H., & Stocker, A. A. (2023). Effect of temporal interruptions on sequential sensory integration. Annual Meeting of the Vision Sciences Society 2023.

Conference Papers

Fang, M., Zhou, Z., Chen, S. Y., & McClelland, J. L. (2018). Can a recurrent neural network learn to count things?. Annual Meeting of the Cognitive Science Society 2018.

Chen, S. Y., Zhou, Z., Fang, M., & McClelland, J. L. (2018). Can generic neural networks estimate numerosity like humans?. Annual Meeting of the Cognitive Science Society 2018.

Sun, Y., Fang, M., Wang, X., & Diao, S. (2017). GubaLex: Guba-oriented sentiment lexicon for big texts in finance. 13th International Conference on Semantics, Knowledge and Grids. IEEE.