mTRF-Toolbox

Versión 2.7 (37,7 MB) por Mick Crosse
A MATLAB package for modelling multivariate stimulus-response data
5.0
(5)
737 Descargas
Actualizado 1 dic 2024
Ver licencia en GitHub

Citar como

Crosse, Michael J., et al. “Linear Modeling of Neurophysiological Responses to Speech and Other Continuous Stimuli: Methodological Considerations for Applied Research.” Frontiers in Neuroscience, vol. 15, Frontiers Media SA, Nov. 2021, doi:10.3389/fnins.2021.705621.

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Compatibilidad con la versión de MATLAB
Se creó con R2017b
Compatible con cualquier versión
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examples

examples/libs/cnsp_utils

examples/libs/cnsp_utils/cnd

examples/libs/cnsp_utils/dili_aud2sgram

examples/libs/filedownload

mtrf

examples

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Versión Publicado Notas de la versión
2.7

See release notes for this release on GitHub: https://github.com/mickcrosse/mTRF-Toolbox/releases/tag/v2.7
2.6

See release notes for this release on GitHub: https://github.com/mickcrosse/mTRF-Toolbox/releases/tag/v2.6
2.5

See release notes for this release on GitHub: https://github.com/mickcrosse/mTRF-Toolbox/releases/tag/v2.5
2.4

See release notes for this release on GitHub: https://github.com/mickcrosse/mTRF-Toolbox/releases/tag/v2.4
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.
2.2

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
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

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.
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.
2.0.1

* Migrated parsevarargin within main functions
* Fixed bug for specifying model type
* Improved indexing and readability
* Removed coherent motion dataset
* Updated license
2.0.0

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.