Computational Neuroscience/modeling

Computational Neuroscience is a science that links the miscellaneous fields of neuroscience, cognitive science, and psychology with electrical engineering, computer science, mathematics, and physics. It is altered from psychological connectionism and from learning theories of disciplines, like machine learning, neural networks, and computational learning theory in that it emphasizes descriptions of functional and biologically realistic neurons and their physiology and dynamics. Computational models deals with the study of brain function in terms of the information processing properties of the structures that make up the nervous system. The Computational models are used in frame hypotheses that can be directly tested by psychological or biological experiments

  • Single-neuron modeling
  • Sensory processing
  • Memory and synaptic plasticity
  • Computational clinical neuroscience

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