Okinawa Institute Of Science And Technology (OIST)
Computational Neuroscience

Onna, Japan

DEGREE TYPE

Course

DURATION

LANGUAGES

PACE

APPLICATION DEADLINE

EARLIEST START DATE

Apr 2025

STUDY FORMAT

On-Campus

Key Summary

About : The Master's degree in Computational Neuroscience explores the intersection of neuroscience and computer science. This program focuses on computational models to understand the brain's complex functions and offers hands-on experiences with various tools and techniques. Students will engage in research that enhances their understanding of neural systems and interactions.

Career Outcomes : Graduates can pursue roles in academia, research institutions, and industry. Common career paths include positions as neuroscientists, data analysts, and machine learning engineers. Opportunities also exist in healthcare technology and cognitive computing sectors, leveraging skills in computational modeling and neural data analysis.

Computational neuroscience has a rich history going back to the original Hodgkin-Huxley model of the action potential and the work of Wilfrid Rall on cable theory and passive dendrites. More recently networks consisting of simple integrate-and-fire neurons have become popular. Nowadays standard simulator software exists to apply these modeling methods, which can then be used to interpret and predict experimental findings.

This course introduces some standard modeling methods with an emphasis on simulation of single neurons and synapses and an introduction to integrate-and-fire networks. Each theoretical topic is linked to one or more seminal papers that will be discussed in class. A number of simple exercises using the NEURON simulator will demonstrate single neuron and synapse modeling.

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