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DULCE aims to establish a framework for understanding learning processes in complex environments by analyzing neural population dynamics. It combines statistical modeling and machine learning to uncover how different brain regions coordinate learning.
Learning and adaptation play a central role in interacting with a changing environment, yet the neural substrateunderlying such flexible, goal-directed behaviors has remained elusive.
Neuroscience experiments have traditionally focused on how individual brain regions perform abstract, highly simplified tasks.
However, recent technological advances, coupled with powerful AI-accelerated software, have rapidly enabled the monitoring of large populations of neurons over many days, across multiple br…
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