Approaches for Neural Dynamics

Neural dynamics is the study of the nervous system's remarkable capacity to change, and, at a systems level, the dynamic interplay between integration and segregation of brain regions enables all aspects of behaviour, including learning, memory, homeostasis and sensorimotor control. Real-time collision-free path planning and tracking control of a nonholonomic mobile robot in a dynamic environment is investigated using a neural dynamics based approach. The real-time robot path is generated through a dynamic neural activity landscape of a topologically organized neural network that represents the changing environment. The dynamics of each neuron is characterized by an additive neural dynamics model. The effectiveness and efficiency of this approach are demonstrated through simulation studies. A new approach to neural dynamics by using combined TMS and EEG recordings.

  • Dynamical neuroscience
  • Electrophysiology of the neuron
  • Global neurodynamics
  • Biological neural network modeling
  • Neuron dynamics

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