CORDIS Project
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This project investigates how the brain processes uncertain information using Bayesian inference. It aims to develop algorithms and neural network models that integrate this inference with other brain functions, enhancing our understanding of cognitive processes in realistic biological settings.
A growing body of experimental evidence suggests that animals, and in particular humans, arecapable of inferring knowledge about reality from uncertain or incomplete data in a way thatis, according to Bayes’ theorem, mathematically optimal [1, 2].
The case that the brain is, atsome level, a Bayesian inference machine was made much stronger when Ma et al. [3] recentlydescribed a mechanism whereby a neural network could indeed store and manipulateprobability distributions – a mechanism that reduce…
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