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Mattia Rigotti-Thompson

Showing results (1-10 of 4) with videos related to

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Arxiv|August 12, 2024
Diffusion-Based Generation of Neural Activity from Disentangled Latent CodesJonathan D McCart, Andrew R Sedler, Christopher Versteeg, et al.
Biorxiv : the Preprint Server for Biology|October 3, 2025
Preparatory encoding of diverse features of intended movement in the human motor cortexMattia Rigotti-Thompson, Samuel R Nason-Tomaszewski, Payton Bechefsky, et al.
Biorxiv : the Preprint Server for Biology|August 23, 2023
BRAND: A platform for closed-loop experiments with deep network modelsYahia H Ali, Kevin Bodkin, Mattia Rigotti-Thompson, et al.
Journal of Neural Engineering|April 5, 2024
BRAND: a platform for closed-loop experiments with deep network modelsYahia H Ali, Kevin Bodkin, Mattia Rigotti-Thompson, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Arxiv|August 12, 2024
Diffusion-Based Generation of Neural Activity from Disentangled Latent CodesJonathan D McCart, Andrew R Sedler, Christopher Versteeg, et al.
Biorxiv : the Preprint Server for Biology|October 3, 2025
Preparatory encoding of diverse features of intended movement in the human motor cortexMattia Rigotti-Thompson, Samuel R Nason-Tomaszewski, Payton Bechefsky, et al.
Biorxiv : the Preprint Server for Biology|August 23, 2023
BRAND: A platform for closed-loop experiments with deep network modelsYahia H Ali, Kevin Bodkin, Mattia Rigotti-Thompson, et al.
Journal of Neural Engineering|April 5, 2024
BRAND: a platform for closed-loop experiments with deep network modelsYahia H Ali, Kevin Bodkin, Mattia Rigotti-Thompson, et al.
Pageof 1