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Using neural networks to predict slope movements

Laurent Vulliet, Frédéric Mayoraz
1996
Conference Papers

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Laurent Vulliet, Frédéric Mayoraz
1996
Conference Papers

Source officielle

Publications associées (16)

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https://infoscience.epfl.ch/entities/publication/9b312da4-d98e-43da-a353-ac94f2d2fc32

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Publications associées (16)

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Does surface completion fail to support uncrowding?

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In crowding, perception of a target deteriorates in the presence of nearby elements. As the entire stimulus configuration across large parts of the visual field influences crowding and not just nearby elements, low-level explanations, such as local pooling ...

Association for Research in Vision and Ophthalmology (ARVO)2025

Uncovering neural architectures enabling robust and flexible motor control in Drosophila

Femke Imreh Hurtak

Uncovering the neural architectures that enable robust and flexible motor control is a fundamental challenge in neuroscience. Understanding the neural circuitry organisation at a cellular level is crucial for advancing our knowledge and developing interven ...

EPFL2025

A new age in protein design empowered by deep learning

Bruno Emanuel Ferreira De Sousa Correia, Michael Bronstein, Casper Alexander Goverde, Arne Schneuing, Hamed Khakzad, Ilia Igashov

The rapid progress in the field of deep learning has had a significant impact on protein design. Deep learning methods have recently produced a breakthrough in protein structure prediction, leading to the availability of high-quality models for millions of ...

Cell Press2023