Publications
Journal Articles
Luo, X., Mok, R.M.*, Love, B.C.* (2024). The inevitability and superfluousness of cell types in spatial cognition. bioRxiv. *Co-senior Author.
Mok, R.M. & Love, B.C. (2023). A multilevel account of hippocampal function in spatial and concept learning: Bridging models of behavior and neural assemblies. Science Advances.
Love, B.C. & Mok, R.M. (2023). You can’t play 20 questions with nature and win redux. Behavioral and Brain Sciences, 46, e402. (Commentary on Bowers et al. (2022), Deep Problems with Neural Network Models of Human Vision). Preprint here.
Luo, X., Mok, R.M., Roads, B.D., & Love, B.C. (2023). A controller-peripheral architecture and costly energy principle for learning. bioRxiv.
Mok, R.M. & Love, B.C. (2022). An abstract neural representation of category membership beyond information coding stimulus or response. Journal of Cognitive Neuroscience, 34(10)1719–1735.
Bokeria, L., Henson, R.N., & Mok, R.M. (2021). Map-like representations of an abstract conceptual space in the human brain. Frontiers in Human Neuroscience, 15, 620056. (Commentary on Vigano & Piazza (2020), Journal of Neuroscience).
Pelekanos, V., Mok, R.M., Joly, O, Ainswort, M., Kyriazis, D., Kelly, M.G., Bell, A.H., & Kriegeskorte, K. (2020). Rapid event-related, BOLD, NHP: choose two out of three. Scientific Reports, 10, 7485.
Mok, R.M. & Love, B.C. (2019). A non-spatial account of place and grid cells based on clustering models of concept learning. Nature Communications. 10, 5685.
Mok, R.M., O'Donoghue, M.C., Myers, N.E., Drazich, H.S., & Nobre, A.C. (2019). Neural markers for category-based selective working memory in healthy ageing. NeuroImage, 194, 163-173
Mok, R.M., Hajonides van der Meulen, J.E., Holmes, E.A., & Nobre, A.C. (2019). Changing interpretations of emotional expressions in working memory with aging. Emotion, 19(6), 1060-1069 (task scripts, analysis scripts and data available here. Note instructions in manuscript/preprint for obtaining face stimuli)
Kriegeskorte, K. & Mok, R.M. (2017). Learning to adapt and compute like brains. Behavioral and Brain Sciences. 40. doi:10.1017/S0140525X17000188. (Commentary on Lake et al. (2017), Building Machines That Learn and Think Like People). Preprint here.
Mok, R.M., Myers, N.E., Wallis, G., & Nobre, A.C. (2016). Behavioral and neural markers of flexible attention over working memory in aging. Cerebral Cortex, 26, 1831-1842.
Romei, V., Thut, G., Mok, R.M., Schyns, P.G., & Driver, J. (2012). Causal implication by rhythmic TMS of alpha frequency in feature-based local verses global attention. European Journal of Neuroscience, 35(6), 968 - 974.
Romei, V., De Haas, B., Mok, R.M., & Driver, J. (2011). Auditory Stimulus Timing Influences Perceived duration of Co-Occurring Visual Stimuli. Frontiers in Psychology, 2, 215.
Preprints (accepted to journals)
Mok, R.M. & Love, B.C. (2022). A multi-level account of hippocampal function from behavior to neurons. bioRxiv.
Bokeria, L., Henson, R.N., & Mok, R.M. (2020). Map-like representations of an abstract conceptual space in the human brain. PsyArXiv. (Commentary on Vigano & Piazza (2020), Journal of Neuroscience).
Mok, R.M. & Love, B.C. (2020). An abstract neural representation of category membership beyond information coding stimulus or response. bioRxiv.
Pelekanos, V., Mok, R.M., Joly, O., Ainsworth, M., Kyriazis, D., Kelly, M., Bell, A., & Kriegeskorte, N. (2020). Rapid event-related, BOLD, NHP: choose two out of three. bioRxiv.
Mok, R.M. & Love, B.C. (2018). A non-spatial account of grid cells based on clustering models of concept learning. bioRxiv.
Mok, R.M., O'Donoghue, M.C., Myers, N.E., Drazich, H.S., & Nobre, A.C. (2018). Neural markers for category-based selective working memory in healthy ageing. bioRxiv.
Mok, R.M., Hajonides van der Meulen, J.E., Holmes, E.A., & Nobre, A.C. (2017). Changing interpretations of emotional expressions in working memory with aging. PsyArXiv. DOI:10.17605/OSF.IO/T9S54.
Kriegeskorte, K. & Mok, R.M. (2017). Learning to adapt and compute like brains. arXiv:1711.04203