Computational Neuroscience: Neuronal Dynamics of Cognition
- 0.0
-
![]()
![]()
![]()
![]()
![]()
Brief Introduction
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.
Description
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.
Knowledge
- 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
Computational Neuroscience: Neuronal Dynamics of Cognition
- 0.0
-
![]()
![]()
![]()
![]()
![]()
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....
Synapses, Neurons and Brains
- 4.8
-
![]()
![]()
![]()
![]()
![]()
These are very unique times for brain research. The aperitif for the course will thus highlight the present “brain-excitements” worldwide. g....
