Brain-optimized neural network for auditory processing

The repository provides code that supports the results reported here:

Brain-optimized extraction of complex sound features that drive continuous auditory perception
by Berezutskaya J., Freudenburg Z.V., Güçlü U., van Gerven M.A.J. & Ramsey N.F. in PLOS Computational Biology, 2020

In the paper we report training of a data-driven neural model of auditory perception, with a minimum of theoretical assumptions about the relevant sound features. We show that it could provide an alternative approach and possibly a better match to the neural responses.

The repository contains

• the model specification using Chainer 6.1.0
• the training routine
• the weights of one of the best performing models

Citation

If this code has been useful for you, please cite the related paper:

@article{berezutskaya2020brain,
  title={Brain-optimized extraction of complex sound features that drive continuous auditory perception},
  author={Berezutskaya, Julia and Freudenburg, Zachary V and G{\"u}{\c{c}}l{\"u}, Umut and van Gerven, Marcel AJ and Ramsey, Nick F},
  journal={PLoS computational biology},
  volume={16},
  number={7},
  pages={e1007992},
  year={2020},
  publisher={Public Library of Science San Francisco, CA USA}
}