• DocumentCode
    718268
  • Title

    Dynamic interlaminar and thalamocortical interaction supported by top-down beta rhythms

  • Author

    Salafzoon, Narsis ; Strauss, Daniel J. ; Hatsopoulos, Nicholas G. ; Takahashi, Kazutaka

  • Author_Institution
    Saarland Univ. of Appl. Sci/, Germany
  • fYear
    2015
  • fDate
    22-24 April 2015
  • Firstpage
    382
  • Lastpage
    385
  • Abstract
    The neocortex, as a great majority of the cerebral cortex, conceals multiple bands of oscillations recorded in local field potentials (LFPs), which are associated with different neural circuits and their corresponding brain functions. Not only are the complex neural connections in this area significant factors in the emergence of the cortical oscillations, but the inputs from the thalamus to the cortex along with cortical projections to dorsal thalamic nuclei and to the thalamic reticular nucleus as a part of the ventral nuclei as well. These cortical oscillations are related to sensory processing, memory, cognition, and motor control. Here, we developed a functional simulation model of the basic thalamocortical - corticothalamic loop architecture with detailed cortical laminar structure and a diverse set of neuron types. Our model generates prominent β oscillations, and demonstrates the role of the time-varying bottom up inputs in the dynamics of β oscillation in different layers of the cortex. Through excitatory top-down β signals, which were strongly modulated based on frontal attentional inputs, two states were also modeled: Attended and Non-Attended.
  • Keywords
    bioelectric potentials; biomedical electronics; cellular biophysics; medical disorders; medical signal processing; neurophysiology; β oscillation dynamics; β oscillations; LFP; brain functions; cerebral cortex; cognition; complex neural connections; conceals multiple bands; cortical laminar structure; cortical oscillations; cortical projections; dorsal thalamic nuclei; dynamic interlaminar-thalamocortical interaction; frontal attentional inputs; local field potentials; memory; motor control; neocortex; neural circuits; sensory processing; thalamic reticular nucleus; thalamocortical-corticothalamic loop architecture; time-varying bottom up inputs; top-down beta rhythms; ventral nuclei; Biological system modeling; Brain modeling; Computational modeling; Electric potential; Mathematical model; Neurons; Oscillators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference on
  • Conference_Location
    Montpellier
  • Type

    conf

  • DOI
    10.1109/NER.2015.7146639
  • Filename
    7146639