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The GenPercept project investigates how the brain processes sensory information using past experiences to create a coherent perception of the world. It aims to identify the neural mechanisms involved in this generative process and its implications for understanding perception.
How do we rapidly and effortlessly compute a vivid veridical representation of the external world from the noisy and ambiguous input supplied by our sensors?
One possibility is that the brain does not process all incoming sensory information anew, but actively generates a model of the world from past experience, and uses current sensory data to update that model.
This classic idea has been well formulised within the modern framework of Generative Bayesian Inference.
However, despite these recent…
UNIVERSITA DEGLI STUDI DI FIRENZE
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