CORDIS Project
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This project develops AutoMIND, a machine learning tool for inferring parameters in spiking neural network models based on human brain recordings. It aims to enhance understanding of how neural dynamics relate to cognition and its breakdown in disorders by enabling efficient modeling of neural activity.
Human cognition depends on complex coordinated dynamics of neural populations, which is shaped by a rich heterogeneity in cellular properties and network connectivity patterns of neural circuits.
While cognitive neuroscience leverages macroscopic brain signals to relate neural activity to behavioral states, we currently cannot dissect them for their physiological contributions, hindering mechanistic interpretations of experimental data.
One way to systematically study how physiological parameter…
EBERHARD KARLS UNIVERSITAET TUEBINGEN
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