CORDIS Project
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This project develops a new computational model, Constrained Entropy Maximization Network, to enhance understanding of perception in complex environments. It aims to address limitations in existing models by simulating neural responses to sensory evidence.
The neural mechanisms that underlie perceptual inference in cortex are a matter of intense research.
Neural models implementing Bayesian models have proved useful to uncover neural computations in a variety of paradigms.
Still no existing neurocomputational model provides a general framework for understanding perception in naturalistic conditions.
Indeed these models suffer from three shortcomings: i) they cannot perform accurate inference in naturalistic environments where numerous objects inte…
UNIVERSIDAD POMPEU FABRA
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