Modeling the Dynamics of Human Brain Activity with Recurrent Neural Networks

@article{Gl2017ModelingTD,
  title={Modeling the Dynamics of Human Brain Activity with Recurrent Neural Networks},
  author={Umut G{\"u}çl{\"u} and M. V. Gerven},
  journal={Frontiers in Computational Neuroscience},
  year={2017},
  volume={11}
}
Encoding models are used for predicting brain activity in response to sensory stimuli with the objective of elucidating how sensory information is represented in the brain. Encoding models typically comprise a nonlinear transformation of stimuli to features (feature model) and a linear convolution of features to responses (response model). While there has been extensive work on developing better feature models, the work on developing better response models has been rather limited. Here, we… Expand
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