Sökning: "Attractor Neural Networks"

Visar resultat 1 - 5 av 8 avhandlingar innehållade orden Attractor Neural Networks.

  1. 1. Towards Cortex Isomorphic Attractor Neural Networks

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

    Sammanfattning : 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. LÄS MER

  3. 2. Some computational aspects of attractor memory

    Författare :Martin Rehn; Anders Lansner; Magnus Borga; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Datalogi; attractor memory; cerebral cortex; neural networks; Datalogi; Computer science; Datalogi;

    Sammanfattning : In this thesis I present novel mechanisms for certain computational capabilities of the cerebral cortex, building on the established notion of attractor memory. A sparse binary coding network for generating efficient representation of sensory input is presented. LÄS MER

  4. 3. An Attractor Memory Model of Neocortex

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

    Sammanfattning : 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. LÄS MER

  5. 4. Investigations of neural attractor dynamics in human visual awareness

    Författare :David N. Silverstein; Pawel Herman; Martin Ingvar; Karl Friston; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; attractor dynamics; visual awareness; visual perception; visual attention; attentional blink; backward masking; gliomas; brain tumor; white matter; cell assemblies; neocortical model; threat response; fear signaling; amygdala; Biological Physics; Biologisk fysik; Computer Science; Datalogi; Tillämpad matematik och beräkningsmatematik; Applied and Computational Mathematics;

    Sammanfattning : What we see, how we see it and what emotions may arise from stimuli has long been studied by philosophers, psychologists, medical doctors and neuroscientists. This thesis work investigates a particular view on the possible dynamics, utilizing computational models of spiking neural attractor networks. LÄS MER

  7. 5. Sequence learning in the Bayesian Confidence Propagation Neural Network

    Författare :Ramon Heberto Martinez Mayorquin; Pawel Herman; Anders Lansner; Matthias Hennig; Thomas Wennekers; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; bayesian; learning; neural networks; sequences; Computer Science; Datalogi;

    Sammanfattning : This thesis examines sequence learning in the Bayesian Confidence PropagationNeural Network (BCPNN). The methodology utilized throughout this work is com-putational and analytical in nature and the contributions here presented can beunderstood along the following four major themes: 1) this work starts by revisitingthe properties of the BCPNN as an attractor neural network and then provides anovel formalization of some of those properties. LÄS MER