Computational Neuroscience

Computational neuroscience is the study of brain function by the application of computational tools, mathematical approaches and theories in terms of information processing of the structures that make up the nervous system. This not only includes neurology but covers several things in one umbrella like: it incorporates diverse approaches from electrical engineering, computational engineering, and computer science and physics in order to understand how human’s nervous system processes information. Computational neuroscience focuses on describing fully functional and realistic neurons and neural system. Computational neuroscience also possesses potential in aiming towards questions with a wide spectrum. How Axons develop? How dendrites form? How do synapses form? How cognition phenomenon takes place? How sensory motors act?

 

  • Mathematical modeling
  • Cognitive ability of nervous system
  • Single-neuron modeling
  • Axonal patterning
  • Synaptic Plasticity
  • Sensory processing

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