Bcpnn

A Bayesian Confidence Neural Network (BCPNN) is an artificial neural network inspired by Bayes' theorem: node activations represent probability… (More)
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Topic mentions per year

2000-2015
02420002015

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2014
2014
A multi-chip custom digital super-computer called eBrain for simulating Bayesian Confidence Propagation Neural Network (BCPNN… (More)
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2011
2011
Neural associative memories are perceptron-like single-layer networks with fast synaptic learning typically storing discrete… (More)
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2005
2005
In this report we study a mean field (MF) approximation of the Bayesian Confidence Propagating Neural Network (BCPNN) for which… (More)
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2004
2004
A fixed-point arithmetic implementation of the BCPNN (Bayesian Confidence Propagating Neural Network) is described, implemented… (More)
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2004
2004
We characterize the size and complexity of the mammalian cortices of human, macaque, cat, rat, and mouse. We map the cortical… (More)
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2003
2003
In this paper we present a new associative model of classical conditioning based on a neural network. The new model is compared… (More)
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2002
2002
We present a system capable of reinforcement learning (RL) based on the Bayesian confidence propagating neural network (BCPNN… (More)
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2001
2001
A Bayesian Confidence Propagation Neural Network (BCPNN) with hypercolumns is implemented on modern general-purpose parallel… (More)
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2001
2001
The dynamics and storage capacity of a Bayesian Confidence Propagation Neural Network (BCPNN) with hypercolumns is studied… (More)
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2000
2000
  • Örjan Ekberg
  • 2000
Our research centers around mathematical modeling and computer simulation of biological nervous systems, the brain in particular… (More)
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