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Showing 1 to 8 of 8 for “"Neuronal Dynamics"”.

  1. Large-scale neuronal networks: from simulation technology to the study of plasticity-driven cognitive processes

    … systems and the quest for simulating the neuronal dynamics has led to the development of several approaches and simulation tools able to represent the behavior of portions of the brain with different levels of detail. Among the different techniques that we can adopt to shed light on …

    cagliari Repository record for Large-scale neuronal networks: from simulation technology to the study of plasticity-driven cognitive processes (opens in a new tab)

  2. Setting location priors using beamforming improves model comparison in MEG-DCM

    Modelling neuronal interactions using a directed network can be used to provide insight into the activity of the brain during experimental tasks. Magnetoencephalography (MEG) allows for the observation of the fast neuronal dynamics necessary to characterize the activity of sources and their …

    vt Repository record for Setting location priors using beamforming improves model comparison in MEG-DCM (opens in a new tab)

  3. Moving fast : neural constraints in closed loop

    … of neural activity and the physiological dynamics of the muscles involved. Yet, the limiting factors and the corresponding tradeoffs have not been rigorously quantified. We use feedback control principles to identify limitations in the ability of the sensorimotor control system to track …

    mit Repository record for Moving fast : neural constraints in closed loop (opens in a new tab)

  4. Algorithms for enhanced spatiotemporal imaging of human brain function

    … require technologies to non-invasively image neuronal dynamics with high spatiotemporal resolution. The electroencephalogram (EEG) and magnetoencephalogram (MEG) measure neuronal activity with high temporal resolution, and provide clinically accessible signatures of brain states. However, they …

    mit Repository record for Algorithms for enhanced spatiotemporal imaging of human brain function (opens in a new tab)

  5. Modeling friction force avalanches in molybdenum disulfide and spiking neuronal avalanches in mouse cortex

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms

    uiuc Repository record for Modeling friction force avalanches in molybdenum disulfide and spiking neuronal avalanches in mouse cortex (opens in a new tab)

  6. Non-Canonical Axonal Insulin Receptor Signaling Drives Aversive Olfactory Learning

    … C. elegans' changes in molecular pathways, neuronal dynamics, and behavior output mechanics during aversive learning. In Chapter 1, I introduce how studying the neuronal and genetic mechanism of learning in C. elegans can contribute to the understanding of our brains and diseases of the …

    rockefeller Repository record for Non-Canonical Axonal Insulin Receptor Signaling Drives Aversive Olfactory Learning (opens in a new tab)

  7. Dynamical Systems Analysis of Neural Circuits with Applications to Physiological Processes

    … hormone (GnRH), controlled by a hypothalamic neuronal oscillator known as the GnRH pulse generator. The timing and pattern of GnRH secretion are essential, with disruptions leading to reproductive dysfunction. Reproduction is fundamentally controlled by the brain, with the GnRH pulse generator …

    exeter

  8. On the High-Dimensional Geometry of Neuronal Population Dynamics

    … up additional fundamental questions on how the neuronal population code enables robust yet flexible computation from the highly variable activities of single neurons. Here, we utilized large-scale optical imaging to investigate how neuronal population dynamics are structured across diverse brain …

    rockefeller Repository record for On the High-Dimensional Geometry of Neuronal Population Dynamics (opens in a new tab)