Computational Neuroscience

Computational Neuroscience works to spot dynamic neural networks to know the principles that govern neural systems and brain activity potentially associated with information science and brain disorder . The quantitative nature of the sector is primarily concerned with complex computational analysis of electrical and chemical signals within the brain to know the role of neurons within the processing of data using mathematical models at various spatial-temporal scales. These neural models provide experimental data that are wont to generate new hypotheses which will further be tested by biological or psychological experiments.

  • Biophysical models
  • Dynamical systems
  • Learning algorithms
  • Network models
  • Neural decoding
  • Neural encoding

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