Computational neuroscience

Computational neuroscience is a branch of neuroscience which employs mathematical models, theoretical analysis and abstractions of the brain to understand the principles that govern the development, structure and cognitive abilities of the nervous system. Computational neuroscience focuses on the description of biologically plausible neurons and their physiology and dynamics, and it is therefore not concerned with biologically unrealistic disciplines such as connectionism, machine learning, neural networks, artificial intelligence and computational learning theory.

  • Single-neuron modeling
  • Sensory processing
  • Computational clinical neuroscience

Related Conference of Computational neuroscience

October 18-19, 2018

10th International Congress on Structural Biology

Helsinki, Finland
February 28-March 01, 2019

5th International Conference on Enzymology and Protein Chemistry

Berlin, Germany
March 17-18, 2019

World Congress on Genomics & Bioinformatics

Brisbane, Australia
March 18-19,2019

15th World Congress on

Structural Biology

Paris, France
May 10-11, 2019

8th Asia Pacific Glycobiology Congress

Tokyo, Japan
September 23-24, 2019

8th Glycobiology World Congress

Barcelona, Spain
September 23-24, 2019

8th Glycobiology World Congress

Barcelona, Spain
October 07-08, 2019

4th International Conference on Molecular Biology & Nucleic Acids

Chicago, Illinois, USA

Computational neuroscience Conference Speakers

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