Sökning: "Anders Lansner"

Visar resultat 11 - 15 av 22 avhandlingar innehållade orden Anders Lansner.

  1. 11. Modeling prediction and pattern recognition in the early visual and olfactory systems

    Författare :Bernhard Kaplan; Lansner Anders; Fred Hamker; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; spiking neural networks; pattern recognition; self-organization; prediction; anticipation; visual system; olfactory system; modeling; Computer Science; Datalogi;

    Sammanfattning : Our senses are our mind's window to the outside world and determine how we perceive our environment.Sensory systems are complex multi-level systems that have to solve a multitude of tasks that allow us to understand our surroundings. LÄS MER

  3. 12. Oscillations and spike statistics in biophysical attractor networks

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

    Sammanfattning : 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. LÄS MER

  4. 13. 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

  5. 14. Aspects of memory and representation in cortical computation

    Författare :Martin Rehn; Anders Lansner; Örjan Ekeberg; Peter Földiák; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; cerebral cortex; neural networks; attractor memory; sequence learning; biological vision; generative models; serial order; computational neuroscience; dynamical synapses; Computer science; Datalogi;

    Sammanfattning : Denna avhandling i datalogi föreslår modeller för hur vissa beräkningsmässiga uppgifter kan utföras av hjärnbarken. Utgångspunkten är dels kända fakta om hur en area i hjärnbarken är uppbyggd och fungerar, dels etablerade modellklasser inom beräkningsneurobiologi, såsom attraktorminnen och system för gles kodning. LÄS MER

  7. 15. 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