Computational Neuroscience, Cognition and AI, MSc, University of Nottingham

the United Kingdom

Study options for this course

The award	How you will study	Study duration	Course start	Domestic course fees	International course fees
MSc	Full-time	12 months	September	-	-

About Computational Neuroscience, Cognition and AI, MSc - at University of Nottingham

Key facts

An interdisciplinary course that uniquely combines aspects of psychology, mathematics and computer science
Computational neuroscience aims to better understand brain function, develop better analysis tools for neural data and inspire artificial intelligence algorithms

Recent developments

A number of developments make this course particularly relevant:

Recent successes in machine learning are based on analogies with animal brains, i.e. artificial neural networks; these successes have put the analysis of brain computation at the forefront once more
In particular study of the biological brain is being considered as a way to resolve some outstanding issues in AI, such as learning with a limited number of samples, generalisation, and the development of explainable AI
The study of the brain is currently undergoing a revolution as computational models are becoming powerful and accurate enough to complement experimental approaches
Revolutions in experimental recording methods necessitate the use of advanced analysis methods to deal with the enormous volume of data that these methods can produce

What you'll learn

How the brain is believed to work on the cellular, network and systems level
How to develop mathematical models of brain function and how to implement them in simulations
How cognitive phenomena are related to brain activity
Current AI algorithms and how they are based on neuroscience findings
An inventory of experimental approaches to measure and analyse brain function

Some topics that will receive particular attention are how:

memories are stored and organised in the brain
networks of neurons perform computations
visual illusions find their origins in neural circuits

Entry requirements

2:1 (or international equivalent);

2:2 (or international equivalent) may be considered provided the applicant has at least one year of relevant work experience or another supporting factor; for quantitatively minded students with a background in psychology, neuroscience, or biosciences as well as those with training in physics, engineering, mathematics, or computer science; no specific biology or computer knowledge required.

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Computational Neuroscience, Cognition and AI, MSc, University of Nottingham

Study options for this course

About Computational Neuroscience, Cognition and AI, MSc - at University of Nottingham

Entry requirements

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