Interested in this College?
Get updates on Eligibility, Admission, Placements Fees Structure

Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

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. There are two options for learners to join the programme, namely, the paid and free mode. In the free mode, the candidates can audit the programme for a limited duration of time.

The Highlights

Course by EPFL
Certification by edX
Advanced level course
Course of 6 weeks
Video transcript language English
Helpful course handouts
Self-paced
The weekly study required 4 to 6 hours
English language

Programme Offerings

video lectures
quizzes
Online exercises
Online Classrooms

Courses and Certificate Fees

Fees Informations	Certificate Availability	Certificate Providing Authority
INR 14863	yes	Swiss Federal Institute of Technology Lausanne

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. 11,491 .

Fee Category	Amount in Rs.
Base Fee	Nil
Certificate Fee	11,491

Eligibility Criteria

Education

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

Knowledge of physics

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

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

Admission Details

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.

The Syllabus

Instructors

Swiss Federal Institute of Technology Lausanne Frequently Asked Questions (FAQ's)

1: Are there subtitles available for this course?

Yes, English transcripts are available for the video lectures for the ease of the students.

2: Were there any prerequisites to the course?

Yes, the candidates must have the knowledge of calculus and differential equations at the bachelor’s level of math, electrical engineering or physics.

3: Which is the institute that this course is going to be presented by?

The institute providing this course is EPFL.

4: Who will teach us throughout the course?

The teacher for this course is Wulfram Gerstner who is a professor of computer science at EPFL.

5: What is the composition of the study materials?

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.

6: What are the pedagogical methods?

The pedagogy includes quizzes, online exercises, and a final exam that has to be given by all students.

7: Can students of all nationalities take this course?

Presently, only those candidates who belong to regions other than Iran, Cuba and the Crimea region of Croatia can apply for this course.

8: What are the benefits of this certificate?

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.