Search for dissertations about: "BCPNN"

Showing result 1 - 5 of 12 swedish dissertations containing the word BCPNN.

  2. 1. On Data Mining and Classification Using a Bayesian Confidence Propagation Neural Network

    Author : Roland Orre; KTH; []
    Keywords : data mining; bcpnn; classification; neural network;

    Abstract : The aim of this thesis is to describe how a statisticallybased neural network technology, here named BCPNN (BayesianConfidence Propagation Neural Network), which may be identifiedby rewriting Bayes' rule, can be used within a fewapplications, data mining and classification with credibilityintervals as well as unsupervised pattern recognition.BCPNN is a neural network model somewhat reminding aboutBayesian decision trees which are often used within artificialintelligence systems. READ MORE

  4. 2. Towards Cortex Isomorphic Attractor Neural Networks

    Author : Christopher Johansson; KTH; []
    Keywords : Attractor Neural Networks; Cerebral Cortex; Minicolumns; Hypercolumns; Potts Neural Networks; BCPNN; and Parallel Computers;

    Abstract : In this thesis we model the mammalian cerebral cortex withattractor neural networks and study the parallelimplementations of these models. First, we review the size, structure, and scaling laws ofthe cerebral cortex of five mammals; mouse, rat, cat, macaque,and human. READ MORE

  5. 3. The use of Bayesian confidence propagation neural network in pharmacovigilance

    Author : Andrew Bate; Umeå universitet; []
    Keywords : adverse drug reactions; pharmacovigilance; signal detection; spontaneous reporting; data mining; Bayesian statistics; BCPNN; neural network; medicinsk farmakologi; Medical Pharmacology;

    Abstract : The WHO database contains more than 2.8 million case reports of suspected adverse drug reactions reported from 70 countries worldwide since 1968. The Uppsala Monitoring Centre maintains and analyses this database for new signals on behalf of the WHO Programme for International Drug Monitoring. READ MORE

  6. 4. Active Memory Processing on Multiple Time-scales in Simulated Cortical Networks with Hebbian Plasticity

    Author : Florian Fiebig; Anders Lansner; Tim Vogels; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Working memory; Long-term memory; consolidation; spiking; neural network; BCPNN; cortical microcircuit; Tillämpad matematik och beräkningsmatematik; Applied and Computational Mathematics; Biological Physics; Biologisk fysik;

    Abstract : This thesis examines declarative memory function, and its underlying neural activity and mechanisms in simulated cortical networks. The included simulation models utilize and synthesize proposed universal computational principles of the brain, such as the modularity of cortical circuit organization, attractor network theory, and Hebbian synaptic plasticity, along with selected biophysical detail from the involved brain areas to implement functional models of known cortical memory systems. READ MORE

  7. 5. An Attractor Memory Model of Neocortex

    Author : Christopher Johansson; Anders Lansner; Stefano Fusi; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Attractor Neural Networks; Cerebral Cortex; Neocortex; Brain Like Computing; Hypercolumns; Minicolumns; BCPNN; Parallel Computers; Autoassociative Memory; Computer science; Datalogi;

    Abstract : This thesis presents an abstract model of the mammalian neocortex. The model was constructed by taking a top-down view on the cortex, where it is assumed that cortex to a first approximation works as a system with attractor dynamics. READ MORE