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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Papers overview

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Review
2014
Review
2014
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
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
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
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
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
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
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
—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
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
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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