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Theoretical Neuroscience Computational and Mathematical

What is computational and theoretical neuroscience?
Computational neuroscience (also known as theoretical neuroscience or mathematical neuroscience) is a branch of neuroscience which employs mathematics, computer science, theoretical analysis and abstractions of the brain to understand the principles that govern the development, structure, physiology and cognitive
What mathematics is used in computational neuroscience?
Computational neuroscience and neural data analysis relies on linear algebra, probability, basic statistics, and calculus (derivates and ODEs).
We highly recommend going through our refreshers on linear algebra, calculus, and statistics (W0D3, W0D4, W0D5 here).
What can you do with a computational neuroscience degree?
Researchers may work on research projects and also perform teaching duties.
Some computational neuroscientists may work for companies that specialize in machine learning, while others work for pharmaceutical or medical device companies where they have research and development responsibilities.
Appropriately, cognitive neuroscience is the subfield of neurobiology charged with elucidating the neurobiological underpinnings of these faculties.
Computational Neuroscience, on the other hand, is a subfield of neurobiology in which mathematical tools are used to develop and test theories of brain function.

What is computational and theoretical neuroscience?