Autonomic & Computational Neurology
Autonomic Neurology focuses on presentation of clinical cases and clinical situations. The anatomical and organic chemistry mechanisms of central and peripheral nervous system management of involuntary function i.e autonomic function, a clinical and laboratory approach to the diagnosing of autonomic disorders, and principles of autonomic medical specialty.
Computational Neurology may be a branch of neuroscience that employs abstractions, theoretical analysis and mathematical models of the brain to know the principles that govern the psychological feature skills, development, physiology and structure of the system. Topics together with illustration of knowledge by spiking neurons, algorithms for adaptation and learning and processing of knowledge in neural networks are studied. Computational Neurology is additionally called theoretical neuroscience or mathematical neuroscience.
- Cardiac autonomic neuropathy
- Diabetic autonomic neuropathy
- Autonomic Neuropathy Advancements
- Computational clinical neuroscience
- Memory and synaptic plasticity
- Cognitive ability of nervous system
- Single-neuron modelling