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06/06/2023
Language acquisition: do children and language models follow similar learning stages?
During language acquisition, children follow a typical sequence of learn...
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08/25/2022
Decoding speech from non-invasive brain recordings
Decoding language from brain activity is a long-awaited goal in both hea...
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06/03/2022
Toward a realistic model of speech processing in the brain with self-supervised learning
Several deep neural networks have recently been shown to generate activa...
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02/15/2022
Don't stop the training: continuously-updating self-supervised algorithms best account for auditory responses in the cortex
Over the last decade, numerous studies have shown that deep neural netwo...
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11/28/2021
Long-range and hierarchical language predictions in brains and algorithms
Deep learning has recently made remarkable progress in natural language ...
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10/12/2021
Model-based analysis of brain activity reveals the hierarchy of language in 305 subjects
A popular approach to decompose the neural bases of language consists in...
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03/03/2021
Deep Recurrent Encoder: A scalable end-to-end network to model brain signals
Understanding how the brain responds to sensory inputs is challenging: b...
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03/02/2021
Decomposing lexical and compositional syntax and semantics with deep language models
The activations of language transformers like GPT2 have been shown to li...
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02/25/2021
Inductive biases, pretraining and fine-tuning jointly account for brain responses to speech
Our ability to comprehend speech remains, to date, unrivaled by deep lea...
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01/06/2021