mTRF-Toolbox
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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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox >
- Sciences > Neuroscience > Brain Computer Interfaces >
- Engineering > Biomedical Engineering > Biomedical Signal Processing >
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mtrf
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2.3 | The following updates were made to v2.3: 1. Fixed correlation broadcasting issue for older versions
Thanks to Maya Kaufman for flagging the above issues. |
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2.2 | The following updates were made to v2.2: 1. Fixed MSE input argument bug
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2.1 | The following updates were made to v2.1:
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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. |
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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. |
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2.0.1 | * Migrated parsevarargin within main functions
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2.0.0 |
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