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Dec 5, 2006 · We propose that the brain processes these signals in a statistically optimal fashion, reproducing the rules of Bayesian inference. We also ...
Dec 5, 2006 · We propose that the brain processes these signals in a statistically optimal fashion, reproducing the rules of Bayesian inference. We also ...
A Bayesian model of self-motion perception is constructed based on assumptions that the brain processes signals in a statistically optimal fashion, ...
Dec 5, 2006 · This demonstrates how. Bayesian inference allows to make a quantitative link between sensor noise and ambiguities, statistics of head movement, ...
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We propose that the brain processes these signals in a statistically optimal fashion, reproducing the rules of Bayesian inference.
This review highlights what is currently known about the role of vestibular information in these processes, the computations necessary to obtain the appropriate ...
Nov 3, 2016 · We conclude that subjects flexibly weigh visual panoramic and vestibular information based on their orientation-dependent reliability.
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Oct 22, 2024 · Bayesian inference describes how the state is estimated based on noisy sensory data and prior expectations, and this technique has been applied ...
In the Bayesian framework, which is becoming widely used in cognitive science, vestibular sense data must be modeled as random samples drawn from probability ...
Aug 13, 2022 · Bayesian inference posits that the brain accounts for variability in sensory data by combining it with learned expectations built from previous ...