mTRF-Toolbox

version 2.3 (33.4 MB) by Mick Crosse

A MATLAB Package for Relating Neural Signals to Continuous Stimuli

https://doi.org/10.3389/fnhum.2016.00604

5.0

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Updated 10 Jun 2022

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mTRF-Toolbox is a MATLAB package for modelling multivariate stimulus-response data, suitable for neurophysiological data such as MEG, EEG, sEEG, ECoG and EMG. It can be used to model the functional relationship between neuronal populations and dynamic sensory inputs such as natural scenes and sounds, or build neural decoders for reconstructing stimulus features and developing real-time applications such as brain-computer interfaces (BCIs).

Cite As

Crosse, Michael J., et al. “The Multivariate Temporal Response Function (MTRF) Toolbox: A MATLAB Toolbox for Relating Neural Signals to Continuous Stimuli.” Frontiers in Human Neuroscience, vol. 10, Frontiers Media SA, Nov. 2016, doi:10.3389/fnhum.2016.00604.

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MATLAB Release Compatibility

Created with R2017b

Compatible with any release

Platform Compatibility

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examples

mtrf

To view or report issues in this GitHub add-on, visit the GitHub Repository.

10 Jun 2022	2.3	The following updates were made to v2.3: 1. Fixed correlation broadcasting issue for older versions 2. Fixed verbose issue for older versions Thanks to Maya Kaufman for flagging the above issues.
2 Mar 2021	2.2	The following updates were made to v2.2: 1. Fixed MSE input argument bug 2. Stabilized correlation for DC signals 3. Reshaped output of mTRFtransform to match encoding model 4. Added lag type to model summary
23 Feb 2021	2.1	The following updates were made to v2.1: Error metrics no longer based on ranked data for Spearman option No more NaNs in multivariate metrics for Spearman option Transformation of 3D decoders now possible Plotting code now compatible with backward
22 Oct 2020	2.0.3	Added function for CV data partitioning, added feature for equal fold generation, changed AMI metric to ADI metric for attention decoder optimization, added feature for specifying evaluation metrics.
1 Mar 2020	2.0.2	New structuring of toolbox, new functions and features, new example scripts, faster and memory-efficient cross-validation, no additional MathWorks toolboxes required.
25 Feb 2020	2.0.1	* Migrated parsevarargin within main functions * Fixed bug for specifying model type * Improved indexing and readability * Removed coherent motion dataset * Updated license
14 Feb 2020	2.0.0

MLA	Crosse, Michael J., et al. “The Multivariate Temporal Response Function (MTRF) Toolbox: A MATLAB Toolbox for Relating Neural Signals to Continuous Stimuli.” Frontiers in Human Neuroscience, vol. 10, Frontiers Media SA, Nov. 2016, doi:10.3389/fnhum.2016.00604.
APA	Crosse, M. J., Liberto, G. M. D., Bednar, A., & Lalor, E. C. (2016). The Multivariate Temporal Response Function (mTRF) Toolbox: A MATLAB Toolbox for Relating Neural Signals to Continuous Stimuli. Frontiers in Human Neuroscience, 10. Frontiers Media SA. Retrieved from https://doi.org/10.3389%2Ffnhum.2016.00604
BibTeX	@article{Crosse_2016, doi = {10.3389/fnhum.2016.00604}, url = {https://doi.org/10.3389%2Ffnhum.2016.00604}, year = 2016, month = {nov}, publisher = {Frontiers Media {SA}}, volume = {10}, author = {Michael J. Crosse and Giovanni M. Di Liberto and Adam Bednar and Edmund C. Lalor}, title = {The Multivariate Temporal Response Function ({mTRF}) Toolbox: A {MATLAB} Toolbox for Relating Neural Signals to Continuous Stimuli}, journal = {Frontiers in Human Neuroscience} }