Estimating encoding models of cortical auditory processing using naturalistic stimuli and transfer learning

1 code implementation • NeurIPS Workshop Neuro_AI 2019 • Nicolas Farrugia, Victor Nepveu, Deycy Camila Arias Villamil

Taken together, this contribution extends previous attempts on estimating encoding models, by showing the ability to model brain activity using a generic DNN (ie not specifically trained for this purpose) to extract auditory features, suggesting a degree of similarity between internal DNN representations and brain activity in naturalistic settings.

Transfer Learning