Computational Neuroscience: Neuronal Dynamics of Cognition

MOOC
Computational Neuroscience: Neuronal Dynamics of Cognition
Language
English
Duration
31 hour coourse
Certificate
Certification paid
Course by EdX
Computational Neuroscience: Neuronal Dynamics of Cognition
What will you learn?
By the end of the course,you willbe able to: Analyze connected networks in the mean-field limit
Formalize biological facts into mathematical models
Understand a simple mathematical model of memory formation in the brain
Understand a simple mathematical model of decision processes
Understand cortical field models of perception
About the course

What happens in your brain when you make a decision? And what happens if you recall a memory from your last vacation? Why is our perception of simple objects sometimes strangely distorted? How can millions of neurons in the brain work together without a central control unit?

This course explains the mathematical and computational models that are used in the field of theoretical neuroscience to answer the above questions. The core of the answer to cognition may lie in the collective dynamics of thousands of interacting neurons - and these dynamics are mathematically analyzed in this course using methods such as mean-field theory and non-linear differential equations.

Program
Computational Neuroscience: Neuronal Dynamics of Cognition
This course explains the mathematical and computational models that are used in the field of theoretical neuroscience to analyze the collective dynamics of thousands of interacting neurons.
Lecturers
Wulfram Gerstner
Wulfram Gerstner
Professor, Computer Science EPFL
Platform
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All the courses on this platform are free of charge. The authors are top universities and corporations that seek to maintain high quality standards. If you do not meet a deadline for assignments, you lose points. Like on other platforms, the videos in which the theory is explained are followed by practical assignments. Courses are available in English, Chinese, Spanish, French and Hindi.
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