Sum of squared correlations (SSCOR)

The SSCOR spatial filter learns a common SSVEP representation space through optimization of individual SSVEP templates.

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The SSCOR spatial filter learns a common SSVEP representation space through
optimization of individual SSVEP templates.

This is a sample code for testing SSCOR as described in the article given below,

[1] Kiran Kumar G. R and Ramasubbareddy M, "Designing a Sum of Squared
Correlations framework for enhancing SSVEP based BCIs," in IEEE
Transactions on Neural Systems and Rehabilitation Engineering.
doi: 10.1109/TNSRE.2019.2941349

Link to the data used: ftp://sccn.ucsd.edu/pub/ssvep_benchmark_dataset/

Cite As

KIRAN KUMAR RAVINDRAN (2026). Sum of squared correlations (SSCOR) (https://se.mathworks.com/matlabcentral/fileexchange/75422-sum-of-squared-correlations-sscor), MATLAB Central File Exchange. Retrieved .

Kumar, G. R. Kiran, and M. Ramasubba Reddy. “Designing a Sum of Squared Correlations Framework for Enhancing SSVEP-Based BCIs.” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 27, no. 10, Institute of Electrical and Electronics Engineers (IEEE), Oct. 2019, pp. 2044–50, doi:10.1109/tnsre.2019.2941349.

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Kumar, G. R. Kiran, and M. Ramasubba Reddy. “Correction to ‘Designing a Sum of Squared Correlations Framework for Enhancing SSVEP Based BCIs.’” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 28, no. 4, Institute of Electrical and Electronics Engineers (IEEE), Apr. 2020, pp. 1044–45, doi:10.1109/tnsre.2020.2974271.

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General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.0.1

Corrected function descriptions

1.0.0