Bayesian approaches to brain function

Known as: Bayesian brain 
Bayesian approaches to brain function investigate the capacity of the nervous system to operate in situations of uncertainty in a fashion that is… (More)
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Brain-readingCognitive architectureConsciousnessFree energy principle
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Computational neuroscience

Papers overview

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Review
2014
Review
2014
The Bayesian brain: Phantom percepts resolve sensory uncertainty
Phantom perceptions arise almost universally in people who sustain sensory deafferentation, and in multiple sensory domains. The… (More)
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Highly Cited
2011
Highly Cited
2011
Bayesian Fundamentalism or Enlightenment? On the explanatory status and theoretical contributions of Bayesian models of cognition.
The prominence of Bayesian modeling of cognition has increased recently largely because of mathematical advances in specifying… (More)
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Review
2010
Review
2010
Bayesian Brain: Probabilistic Approaches to Neural Coding (Doya, K., Eds., et al.; 2007) [Book Review]
As stated in the preface, "This book is based on lectures given at the First Okinawa Computational Neuroscience Course, held in… (More)
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Highly Cited
2008
Highly Cited
2008
A Generalization of Bayesian Inference
Procedures of statistical inference are described which generalize Bayesian inference in specific ways. Probability is used in… (More)
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Highly Cited
2004
Highly Cited
2004
Bayesian Statistics Without Tears : A Sampling-Resampling Perspective
Even to the initiated, statistical calculations based on Bayes's Theorem can be daunting because of the numerical integrations… (More)
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Highly Cited
2003
Highly Cited
2003
Variational algorithms for approximate Bayesian inference
The Bayesian framework for machine learning allows for the incorporation of prior knowledge in a coherent way, avoids overfitting… (More)
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Highly Cited
2002
Highly Cited
2002
Sequential Monte Carlo Samplers
We propose a methodology to sample sequentially from a sequence of probability distributions that are defined on a common space… (More)
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Highly Cited
2002
Highly Cited
2002
Potential Applications and Pitfalls of Bayesian Inference of Phylogeny
—Only recently has Bayesian inference of phylogeny been proposed. The method is now a practical alternative to the other methods… (More)
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Highly Cited
2001
Highly Cited
2001
A family of algorithms for approximate Bayesian inference
One of the major obstacles to using Bayesian methods for pattern recognition has been its computational expense. This thesis… (More)
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Highly Cited
1999
Highly Cited
1999
Bayesian Map Learning in Dynamic Environments
We consider the problem of learning a grid-based map using a robot with noisy sensors and actuators. We compare two approaches… (More)
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