Search for dissertations about: "attractor memory"

Showing result 6 - 9 of 9 swedish dissertations containing the words attractor memory.

  2. 6. 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

  4. 7. Oscillations and spike statistics in biophysical attractor networks

    Author : Mikael Lundqvist; Anders Lansner; Arvind Kumar; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Attractor networks; computational neuroscience; cortex; datalogi; Computer Science;

    Abstract : The work of this thesis concerns how cortical memories are stored and retrieved. In particular, large-scale simulations are used to investigate the extent to which associative attractor theory is compliant with known physiology and in vivo dynamics. READ MORE

  5. 8. Spike-Based Bayesian-Hebbian Learning in Cortical and Subcortical Microcircuits

    Author : Philip Tully; Anders Lansner; Matthias Hennig; Gordon Pipa; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Bayes rule; synaptic plasticity and memory modeling; intrinsic excitability; naïve Bayes classifier; spiking neural networks; Hebbian learning; neuromorphic engineering; reinforcement learning; temporal sequence learning; attractor network; Computer Science; Datalogi;

    Abstract : Cortical and subcortical microcircuits are continuously modified throughout life. Despite ongoing changes these networks stubbornly maintain their functions, which persist although destabilizing synaptic and nonsynaptic mechanisms should ostensibly propel them towards runaway excitation or quiescence. READ MORE

  6. 9. Sequence learning in the Bayesian Confidence Propagation Neural Network

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

    Abstract : 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. READ MORE