/ERPIQRT

Individual differences in cognitive abilities are predicted by cortical processing speed: A model-based cognitive neuroscience account

Primary LanguageMATLABGNU General Public License v3.0GPL-3.0

Citation

Schubert, A. L., Nunez, M. D., Hagemann, D., & Vandekerckhove, J. (2018). Individual differences in cortical processing speed predict cognitive abilities: A model-based cognitive neuroscience account. Computational Brain & Behavior. doi: 10.1007/s42113-018-0021-5

Open access

Preprint source

ERPIQRT

(Repository version 0.4.5)

Individual differences in cortical processing speed predict cognitive abilities: A model-based cognitive neuroscience account (ERPIQRT).

Authors: Anna-Lena Schubert and Dirk Hagemann from Heidelberg University, Germany and Michael D. Nunez and Joachim Vandekerckhove from the University of California, Irvine, USA

Research Questions

A greater speed of information-processing may facilitate evidence acquisition during decision making and memory updating and give rise to advantages in general cognitive abilities. In this study we explore this hypothesis by using a hierarchical Bayesian cognitive modeling approach to investigate if individual differences in the velocity of evidence accumulation (a drift-diffusion model parameter that explains some variance in reaction times; RT) mediates the relationship between neural processing (estimated by event-related potentials; ERPs) and general cognitive abilities (measured by intelligence tests; IQ)

Hypothesis

Individual differences in cognitive abilities, a latent variable related to IQ scores, are explained by individual differences in ERP latencies. This relationship is at least partially reflected in individual differences in evidence accumulation (estimated by drift-diffusion model parameter fits).

Prerequisites

MATLAB

MCMC Sampling Program: JAGS

Program: JAGS Wiener module

Scientific Python libraries

Python Repository: pyjags

Downloading

The repository can be cloned with git clone https://github.com/mdnunez/ERPIQRT.git

The repository can also be may download via the Download zip button above.

Installation

After downloading/unzipping the repository, users will need to add these functions to the MATLAB path. In MATLAB, add the repository to the PATH with

%Set 'artloc' to full directory path
emloc = 'C:\Users\MATLAB\ERPIQRT';
addpath(genpath(emloc));

License

ERPIQRT is licensed under the GNU General Public License v3.0 and written by Anna-Lena Schubert, Michael D. Nunez, Dirk Hagemann, and Joachim Vandekerckhove.

Further Reading

Schubert, A. L., Hagemann, D., Voss, A., Schankin, A., & Bergmann, K. (2015). Decomposing the relationship between mental speed and mental abilities. Intelligence, 51, 28-46.

Schubert, A. L., Hagemann, D., & Frischkorn, G. T. (2017). Is general intelligence little more than the speed of higher-order processing?. Journal of Experimental Psychology: General, 146(10), 1498.