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Deep Recurrent Encoder: A scalable end-to-end network to model brain
  signals

Deep Recurrent Encoder: A scalable end-to-end network to model brain signals

3 March 2021
O. Chehab
Alexandre Défossez
Jean-Christophe Loiseau
Alexandre Gramfort
J. King
    AI4TS
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Papers citing "Deep Recurrent Encoder: A scalable end-to-end network to model brain signals"

3 / 3 papers shown
Title
Scaling laws for decoding images from brain activity
Scaling laws for decoding images from brain activity
Hubert J. Banville
Yohann Benchetrit
Stéphane DÁscoli
Jérémy Rapin
J. King
MedIm
44
0
0
25 Jan 2025
Decoding speech perception from non-invasive brain recordings
Decoding speech perception from non-invasive brain recordings
Alexandre Défossez
Charlotte Caucheteux
Jérémy Rapin
Ori Kabeli
J. King
32
115
0
25 Aug 2022
Inductive biases, pretraining and fine-tuning jointly account for brain
  responses to speech
Inductive biases, pretraining and fine-tuning jointly account for brain responses to speech
Juliette Millet
J. King
45
34
0
25 Feb 2021
1