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The Mathematical Cognitive Neuroscience Toolbox (mcntoolbox). Code associated with the publication "How attention influences perceptual decision making: Single-trial EEG correlates of drift-diffusion model parameters."

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Citation

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, 117-130.

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Elsevier source

mcntoolbox

(Repository version 0.3.4)

The Mathematical Cognitive Neuroscience Toolbox (mcntoolbox).

Authors: Michael D. Nunez, Joachim Vandekerckhove, and Ramesh Srinivasan from the Cognitive Sciences Department at the University of California, Irvine

Description

Mcntoolbox provides users interested in EEG and quick decision making a set of example scripts for steady-state visual evoked potential (SSVEP) stimulus generation and integrated drift-diffusion model fitting with EEG using MATLAB. All example scripts are written in MATLAB. One R script is included as an example of single-trial ERP estimation.

Please see the repository pyhddmjags for cleaner implementations using Python.

Data

The shortcut to the pre-calculated EEG measures and raw behavioral data presented in Nunez et al. (2017) JMP paper is here.

Prerequisites

MATLAB

MCMC Sampling Program: JAGS

Program: JAGS Wiener module

MATLAB Repository Trinity for calling JAGS from MATLAB

Possible prerequisites

DMAT ( Now unnecessary but was previously necessary for the exponential moving average function ewmav2() in previous versions )

R (for single-trial ERP estimation)

License

mcntoolbox is licensed under the GNU General Public License v3.0 and written by Michael D. Nunez, Joachim Vandekerckhove, and Ramesh Srinivasan from the Cognitive Sciences Department at the University of California, Irvine.

Further Reading

Nunez, M. D., Gosai, A., Vandekerckhove, J., & Srinivasan, R. (2019). The latency of a visual evoked potential tracks the onset of decision making. NeuroImage. doi: 10.1016/j.neuroimage.2019.04.052

Lui, K. K., Nunez, M. D., Cassidy, J. M., Vandekerckhove, J., Cramer, S. C., & Srinivasan, R. (2020). Timing of readiness potentials reflect a decision-making process in the human brain. Computational Brain & Behavior.

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

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The Mathematical Cognitive Neuroscience Toolbox (mcntoolbox). Code associated with the publication "How attention influences perceptual decision making: Single-trial EEG correlates of drift-diffusion model parameters."

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