- Swiss Federal Institute of Technology Lausanne
- Computational Neuroscience Neuronal Dynamics of Cognition
Computational Neuroscience: Neuronal Dynamics of Cognition
Learn how to analyze the collective dynamics of the large number of neurons that interact with each other.
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based
Learning efforts 4-6 Hours Per Week
If you have questions such as how the mechanism of memory is maintained in our nervous systems or why some objects appear strangely distorted even if they are simple objects, then the course of Computational Neuroscience: Neuronal Dynamics of Cognition will be best suited to you. This course imparts knowledge about a broad range of topics ranging from the study of computational and mathematical models that are employed to resolve problems arising in the field of theoretical neuroscience. Not only the knowledge of theoretical topics like nonlinear differential equations and mean-field theory but the candidates will learn the methods of resolution of practical problems, arising in the real world.
Computational Neuroscience: Neuronal Dynamics of Cognition certification course is an advanced level course which provides information on complex topics and extends over a duration of six weeks. The candidates are to watch 5-8 educational videos per week and do at least 90 minutes of self-study in a week to get through the course easily.
Course by EPFL
Certification by edX
Advanced level course
Course of 6 weeks
Video transcript language English
Helpful course handouts
The weekly study required 4 to 6 hours
- Video lectures
- Online exercises
- Online classrooms
Course and certificate fees
Type of course
The candidates do not need to deposit a fee for the purpose of learning the contents of this course.
However, the certification charges are Rs. 10,304.
Amount in Rs.
certificate providing authority
Who it is for
People of the following categories can find this course helpful.
The people who are interested in the subject of biology and life sciences
Educators who want a clear understanding of the subject to teach more efficiently
Biology majors who want to learn this course as a part of their syllabus
The candidates must have knowledge of Calculus and differential equations at the bachelor level of math, physics, or electrical engineering level.
Certification Qualifying Details
Candidates need to pay a fee to upgrade their courses to avail the facilities of certification.
What you will learn
The given areas are the ones in which the candidates will delve into:
Candidates will be able to do the analysis of connected networks within the limit of mean-field
They will be able to create mathematical models by formulating biological facts
They will understand the concept behind memory formation in the brain and its mathematical model
They will know the theory behind decision processes and the mathematical processes related to it
Candidates will gain exposure to the models of the cortical field of perception
Candidates will learn about the Hopfield model and associative memory
Candidates will be able to answer questions like what happens when you try to recall a memory from some vacation that you had
They will be able to use tools such as the non-linear differential equations and mean-field theory
The procedure of enrolment for the Computational Neuroscience: Neuronal Dynamics of Cognition course requires the students to follow some steps. These steps are given below:
Step 1: The mentioned link is to be followed by the candidates: https://www.edx.org/course/computational-neuroscience-neuronal-dynamics-co
Step 2: The candidates need to look for the option ‘Enrol Now’ and click on it.
Step 3: The login page will open. To proceed further, put your login details.
Step 4: After the candidate logs in, they can audit the course for free. However, the fee is to be paid for availing certificate of completion.
Associative Memory and Hopfield Model
Synaptic Plasticity and learning
Neuronal populations and mean-field theory
Attractor networks and spiking neurons
Perception and cortical field models
Decision making and competitive dynamics
Candidates who find themselves in need of financial aid can talk at the help desk of edX and fill the financial assistance form, after which they will be able to get a discount of 90 percent on the certification fee.
How it helps
The Computational Neuroscience: Neuronal Dynamics of Cognition will be equipping the participating candidates with a firm base of computational neuroscience, which is very useful for candidates preparing for doctorate programmes in the field of biology for advanced studies. Candidates who are looking for a course that will provide them with all the necessary in-depth insight about different concepts included in computational neuroscience will find this course really useful since they can use Computational Neuroscience: Neuronal Dynamics of Cognition course for learning purposes and need not pay for a certification. This factor is also helpful for those candidates who are not financially stable and are interested in learning. By learning with Computational Neuroscience: Neuronal Dynamics of Cognition programme, candidates can perform way better than before in their respective fields, thereby increasing the scope of better positions in the organization and ultimately better pay.
EPFL allots world-renowned instructors so that the best teaching methods are deployed in the all-round development of the learners. The six-week-long course makes sure that the candidates graduate with all the necessary skills that are needed for them to apply for various posts.
There is also a facility for candidates who possess disabilities. That is, candidates are free to make use of any software or hardware equipment necessary by talking to the edX helpdesk first. The courses are designed such that it is accessible for all.
Yes, English transcripts are available for the video lectures for the ease of the students.
Yes, the candidates must have the knowledge of calculus and differential equations at the bachelor’s level of math, electrical engineering or physics.
The institute providing this course is EPFL.
The teacher for this course is Wulfram Gerstner who is a professor of computer science at EPFL.
There will be video lectures for 6 weeks. Almost 5 to 8 videos will be out for study each week. These videos will take up about 60 to 90 minutes per week and the student can easily catch up by self-study of 90 minutes in a week.
The pedagogy includes quizzes, online exercises, and a final exam that has to be given by all students.
Presently, only those candidates who belong to regions other than Iran, Cuba and the Crimea region of Croatia can apply for this course.
This certification is verified and official, with the sign of the instructor and logo of the institute on the certificate. It is easily shareable on many employment websites to boose the value of the candidate as an employee.
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