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  From manifolds to thoughts

Beylier, C., Scherf, N., Doeller, C. F., & Menghi, N. (2022). From manifolds to thoughts. Poster presented at 11th IMPRS NeuroCom Summer School, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

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 Creators:
Beylier, Charlotte1, 2, Author           
Scherf, Nico2, Author           
Doeller, Christian F.3, Author           
Menghi, Nicholas3, Author           
Affiliations:
1Center for Scalable Data Analytics and Artificial Intelligence, Leipzig, Humboldtstraße 25, 04105 Leipzig, ou_persistent22              
2Method and Development Group Neural Data Science and Statistical Computing, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_3282987              
3Department Psychology (Doeller), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2591710              

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 Abstract: Advances in Machine Learning (ML) models have surpassed our ability to understand the inner “thinking process” that led to their results, leaving us with the same interrogations we ask to understand their biological counterpart, the brain. Here, the geometry of collective neural representations seems to be a crucial characteristic of information processing in both artificial and natural neural networks (NN). However, the dynamical aspect of these neural maps and the cognitive processes that operate on them are still largely unexplored.

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 Dates: 2022-06
 Publication Status: Not specified
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Title: 11th IMPRS NeuroCom Summer School
Place of Event: Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
Start-/End Date: 2022-06-27 - 2022-06-29

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