Sökning: "Matthias Hennig"

Hittade 3 avhandlingar innehållade orden Matthias Hennig.

  1. 1. 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

  3. 2. Functional Relevance of Homeostatic Intrinsic Plasticity in Neurons and Networks

    Författare :Yann Sweeney; Jeanette Hällgren Kotaleski; Matthias Hennig; Thomas Nowotny; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer Science; Datalogi;

    Sammanfattning : Maintaining the intrinsic excitability of neurons is crucial for stable brain activity. This can be achieved by the homeostatic regulation of membrane ion channel conductances, although it is not well understood how these processes influence broader aspects of neuron and network function. LÄS MER

  4. 3. Spike-Based Bayesian-Hebbian Learning in Cortical and Subcortical Microcircuits

    Författare :Philip Tully; Anders Lansner; Matthias Hennig; Gordon Pipa; KTH; []
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER