Computational Neurology

Computational Neurology is a branch of neuroscience which employs abstractions, theoretical analysis and mathematical models of the brain to understand the principles that govern the cognitive abilities, development, physiology and structure of the nervous system. Topics including representation of information by spiking neurons, algorithms for adaptation and learning and processing of information in neural networks are studied, Computational Neurology is also known as theoretical neuroscience or mathematical neuroscience.

  • Computational clinical neuroscience
  • Cognitive ability of nervous system
  • Single-neuron modelling
  • Sensory processing
  • Axonal patterning
  • Development, axonal patterning, and guidance
  • Memory and synaptic plasticity

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