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
Simulation neuroscience is an up and coming new technique that consolidates all the knowledge spread out throughout the vast field of neuroscience. Therefore, edX designed the online Simulation Neuroscience course to help interested candidates get savvy with this emerging approach. The course aims to imbue you with adequate knowledge to help you understand the brain’s biological mechanisms.
A multi-disciplinary team of renowned neuroscientists helms this one-of-a-kind MOOC in Simulation Neuroscience. With this course, you will gain sufficient knowledge and skills to create simulations of biological synapses and neurons. This programme is part of a broader three-part course, designed to teach you how to use the HBP Brain Simulation Platform.
Moreover, after completing the six-week Simulation Neuroscience training course, you can also get a course completion certificate. However, the certificate is purchasable and doesn’t come with free training. You can also use this certificate to boost your employment opportunities by either attaching it to your CV/Resume or linking it to your LinkedIn account. There are 2 tracks namely the audit and the verified track which are self-paced and can be enrolled in to learn the course completely. The main differences between these 2 tracks are access to the course materials and certificate of participation. During the audit track, the access is limited and no certification is given whereas during the verified track, access is unlimited and a certification is also offered.
The Highlights
- Advanced level course
- Six-week programme
- Five-eight hours of effort required per week
- English language course
- Video transcripts in English
- Self-paced training with limited audit track access
Programme Offerings
- advanced level course
- Six-week Course
- Five-eight hours of effort per week
- free course
- Purchasable certificate
- an École Polytechnique fédérale de Lausanne offering
- English language course
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 17412 | yes | Swiss Federal Institute of Technology Lausanne |
- The enrollment into the Simulation Neuroscience training programme is entirely free of cost.
- However, you will have to pay a fee only if you require a course completion certificate. Here are the details regarding the price.
Simulation Neuroscience fee structure
Course name | Fees in INR |
Simulation Neuroscience | FREE |
Simulation Neuroscience - Certificate | Rs. 17,412 |
Eligibility Criteria
To get the most out of the Simulation Neuroscience online course by edX, you must have basic knowledge about ordinary differential equations, as well as their numerical solution. Moreover, it would also help if you have prior programming experience in C/C++, Python (preferred), R, MATLAB, or Java.
What you will learn
After satisfactorily completing all modules of the online Simulation Neuroscience programme, you can:
- Collect, register, annotate different data types of neuroscience
- Categorise different characteristic features of neurons
- List different characteristics and behavioural aspects of synapses
- Describe various simulation neuroscience strategies
- Constrain a model using experimental neuronal activity data
- Model a neuron with all its constituent parts (soma, axon, dendrites, synapse) as well as its behaviour
- Discuss the different data types available for simulation neuroscience
Admission Details
- Connect to the course website using this link: https://www.edx.org/course/simulation-neuroscience
- Go through the programme details thoroughly. When done, click on the ‘Enroll’ option on the top.
- Sign in using your edX credentials. If you don’t already have an account, create one using your email, or Facebook/ Apple/Google/Microsoft credentials.
- Once you’re signed in, you will access all the course materials and start learning.
The Syllabus
- Understanding the brain
- Approaches and Rationale of Simulation Neuroscience
- The principles of simulation neuroscience
- Data strategies
- Neuroinformatics
- Reconstruction and simulation strategies
- Summary and Caveats
- Experimental data
- Single neuron data collection techniques
- Morphological profiles
- Electrophysiological profiles
- Caveats and summary of experimental data techniques
- Single neuron data
- Ion channels
- Combining profiles
- Cell densities
- Summary and Caveats
- Synapses
- Synapses
- Synaptic dynamics
- Introduction to neuroinformatics
- Text mining
- Data integration and knowledge graphs
- Knowledge graphs
- Ontologies
- Neuroinformatics
- Brain atlases and knowledge space
- Motivation of data-integration
- Fixed data approach to data integration
- Blue Brain Nexus
- Architecture of Blue Brain Nexus
- Design a provenance entity
- Ontologies
- Creating your own domain
- MINDS
- Conclusion
- Acquisition of neuron electrophysiology and morphology data
- Generating data
- Using data
- Design an entity
- An entity design and the provenance model
- Conclusion
- Morphological feature extraction
- Morphological structures,
- Understanding neuronal morphologies using NeuroM
- Statistics and visualisation of morphometric data
- Introduction to the single neuron
- Introduction
- Motivation for studying the electrical brain
- The neuron
- A structural introduction
- An electrical device
- Electrical neuron model
- Modeling the electrical activity
- Hodgkin & Huxley
- Tutorial creating single cell electrical models
- Single cell electrical model: passive
- Making it active
- Adding a dendrite
- Connecting cells
- Modeling synaptic potential
- Modeling the potential
- Rall's cable model
- Modeling synaptic transmission between neurons
- Synaptic transmission
- Modeling synaptic transmission
- Modeling dynamic synapses tutorial
- Defining your synaps
- Compiling your modifies
- Hosting & testing your synaps model
- Reconfigure your synaps to biological ranges
- Defining a modfile for a dynamic TM synapse
- Compiling and testing the modfile
- Constraining neuron models with experimental data
- Constraining neuron model with experimental data.
- Computational aspects of optimization
- Tools for constraining neuron models
- Tutorials for optimization
- Setting up the components
- NMC portal
- Accessing the NMC portal
- Running models on your local computer
- Downloading and interacting with the single cell models
- Injecting a current
Instructors
Swiss Federal Institute of Technology Lausanne Frequently Asked Questions (FAQ's)
The Open edX ecosystem works best with new versions of Firefox, Safari, and Chrome. It can also be accessed using Internet Explorer version 9 or above. However, the HBP platform, on which you will perform your weekly exercises, works only with Chrome and Firefox.
You will learn to use tools like various neuroinformatics platforms and HBP brain simulation. For this, you will be set up with a collab on the HBP platform in the second week.
EPFL Doctoral students might get credits for taking this course. It would help if you got in touch with your programme director for more details.
The online Simulation Neuroscience training programme is mentored by Henry Markram, Sean Hill, Dr. Felix Schürmann, Idan Segev, Werner Van Geit, Lida Kanari Dr. Srikanth Ramaswamy, Samuel Kerrien, and Dr. Eilif Muller.
The programme is six weeks in duration.