Deep Multiway Canonical Correlation Analysis For Multi-Subject Eeg Normalization

• Published in: Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) pp. 1245 - 1249
• Main Authors: Katthi, Jaswanth Reddy, Ganapathy, Sriram
• Format: Conference Proceeding
• Language: English
• Published: IEEE 06.06.2021
• Subjects: Audio-EEG analysis; Brain modeling; Canonical correlation analysis (CCA); Correlation; Deep CCA; multi-way CCA; Natural languages; Neuroscience; Redundancy; Signal processing; Transforms

The normalization of brain recordings from multiple subjects responding to the natural stimuli is one of the key challenges in auditory neuroscience. The objective of this normalization is to transform the brain data in such a way as to remove the inter-subject redundancies and to boost the componen...