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Mathematical Cognitive Neuroscientist

Michael D Nunez, PhD

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Publications

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Most links should bring you to a freely-accessed publication. If a link doesn't work for you, please ask for a free copy by emailing me at m.d.nunez@uva.nl

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Preprints (various stages of peer-review)

Nunez, M. D., Schubert, A.-L., Frischkorn, G. T., Oberauer, K. (2024). Cognitive models of decision-making with identifiable parameters: Diffusion Decision Models with within-trial noise. PsyArXiv

Alanis, J. C. G., Nunez, M. D., Wehrheim M. H., Fiebach, C. J., Löffler, C., Schubert, A.-L. (2023). The Devil's in the Variability: A Multidimensional Analysis of EEG Signal Dynamics and Their Relation to Behaviour. PsyArXiv.

Joint computational modeling of human EEG and behavior to reveal cognition (peer-reviewed)

Nunez, M. D., Fernandez, K., Srinivasan, R., & Vandekerckhove, J. (2024). A tutorial on fitting joint models of M/EEG and behavior to understand cognition. Behavior Research Methods.

Vo, K., Sun, Q. J., Nunez, M. D., Vandekerckhove, J., & Srinivasan, R. (2024). Deep latent variable joint cognitive modeling of neural signals and human behavior. NeuroImage.

Ghaderi-Kangavari, A., Rad, J. A., & Nunez, M. D. (2023). A general integrative neurocognitive modeling framework to jointly describe EEG and decision-making on single trials. Computational Brain & Behavior, 1-60.

Ghaderi-Kangavari, A., Parand, K., Ebrahimpour, R., Nunez, M. D., & Rad, J. A. (2023). How spatial attention affects the decision process: looking through the lens of Bayesian hierarchical diffusion model & EEG analysis. Journal of Cognitive Psychology, 35(4), 456-479.

Ghaderi-Kangavari, A., Rad, J. A., Parand, K., & Nunez, M. D. (2022). Neuro-cognitive models of single-trial EEG measures describe latent effects of spatial attention during perceptual decision making. Journal of Mathematical Psychology. 111.

Lui, K. K., Nunez, M. D., Cassidy, J. M., Vandekerckhove, J., Cramer, S. C., & Srinivasan, R. (2021). Timing of Readiness Potentials Reflect a Decision-making Process in the Human Brain. Computational Brain & Behavior.

Nunez, M. D. , Gosai, A., Vandekerckhove, J., & Srinivasan, R. (2019). The latency of a visual evoked potential tracks the onset of decision making. NeuroImage, 197.

Schubert, A.-L., Nunez, M. D., Hagemann, D., & Vandekerckhove, J. (2019). Individual differences in cortical processing speed predict cognitive abilities: A model-based cognitive neuroscience account. Computational Brain & Behavior, 2(2), 64-84.

Nunez, M. D. , Vandekerckhove, J., & Srinivasan, R. (2017). How attention influences perceptual decision making: Single-trial EEG correlates of drift-diffusion model parameters. Journal of Mathematical Psychology. 76:B, (pp. 117-130)

Nunez, M. D. , Srinivasan, R. & Vandekerckhove, J. (2015). Individual differences in attention influence perceptual decision making. Frontiers in Psychology. 8:18.

Epilepsy (peer-reviewed)

Nunez, M. D., Charupanit, K., Sen-Gupta, I., Lopour, B. A., Lin, J. J. (2022). Beyond rates: Time-varying dynamics of high frequency oscillations as a biomarker of the seizure onset zone. Journal of Neural Engineering.

EEG analysis (peer-reviewed)

Nunez, P. L., Nunez, M. D. , & Srinivasan, R. (2019). Multi-Scale Neural Sources of EEG: Genuine, Equivalent, and Representative. A Tutorial Review. Brain Topography , 1-22.

Bridwell, D. A., Cavanagh, J. F., Collins, A. G., Nunez, M. D. , Srinivasan, R., Stober, S., & Calhoun, V. D. (2018). Moving Beyond ERP Components: A Selective Review of Approaches to Integrate EEG and Behavior. Frontiers in Human Neuroscience , 12, 106.

Neuroscience (peer-reviewed)

Jun, E. J., Bautista, A., Nunez, M. D., Allen, D. C., Tak, J. H., Alvarez, E., Basso, M. A. (2021). Causal role for the primate superior colliculus in the computation of evidence for perceptual decisions. Nature Neuroscience. 24, 1121–1131.

Book chapters

Nunez, M. D. , Nunez, P. L., & Srinivasan, R. (2016) Electroencephalography (EEG), neurophysics, experimental methods, and signal processing . In Ombao, H., Linquist, M., Thompson, W. & Aston, J. (Eds.) Handbook of Neuroimaging Data Analysis (pp. 175-197), Chapman & Hall/CRC. Advance online publication. doi: 10.13140/rg.2.2.12706.63687

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