NeurosciencebioRxivPreprint
Low-Rank Tensor Encoding Models Decompose Natural Speech Comprehension Processes
Lane Lewis, Xaq Pitkow, Leila Wehbe
This paper develops a low-rank tensor regression method to decompose neural responses to language features in MEG data, showing improved encoding performance and interpretable components.