The brain must represent and use information about uncertainty in its computations for perception and action.

This leads to the "Bayesian coding hypothesis": that the brain represents sensory information probabilistically, in the form of probability distributions.

This leads to the 'Bayesian coding hypothesis': that the brain represents sensory information probabilistically, in the form of probability distributions.

22 окт. 2024 г. · This leads to the "Bayesian coding hypothesis": that the brain represents sensory information probabilistically, in the form of probability ...

The Bayesian brain: the role of uncertainty in neural coding and computation · D. Knill, A. Pouget · Published in Trends in Neurosciences 1 December 2004 ...

This leads to the 'Bayesian coding hypothesis': that the brain represents sensory information probabilistically, in the form of probability distributions.

A key idea is that the brain performs unconscious probabilistic inference to integrate information from multiple sensory cues and account for uncertainty.

To use sensory information efficiently to make judgments and guide action in the world, the brain must represent and use information about uncertainty in ...

At the systemic level, probabilistic methods (frequentist, Bayesian, etc) are crucial for modeling significant neural phenomena, such as encoding and decoding ...

The Bayesian brain: the role of uncertainty in neural coding and computation. David C. Knill, Alexandre Pouget. Trends in Neurosciences. Volume 27 Issue 12 ...