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Physics-informed Neural Networks

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…datasets; machine learning and physics-informed neural networks; and emerging millimetre-wave requirements. The meeting brings together academic laboratories, industry and public institutions. Presentations are primarily in French, wi

Jan 27–28, 2027

Conference · Electromagnetism

Modeling proprioception with physics-informed neural networks

Adriana Perez Rotondo, Michael Dimitriou, Alexander Mathis · FENS Forum 2024

Proprioception is essential for planning and executing precise motor actions. It relies on sensory signals from mechanosensory neurons distributed within muscles, tendons, and joints. Muscle spindles convey information through sensory afferents to the central nervous system. While traditionally viewed as stretch receptors encoding muscle length and velocity, recent insights suggest they may function as adaptable signal-processing devices. Spinal gamma motor neurons are believed to drive this adaptability by modulating the responses of sensory afferent to task demands. However, the mechanisms b

ePoster · Neuroscience