Single neuron data
Electrophysiological profiles Summary and caveats of experimental data techniques
Understanding the brain
The principles of simulation neuroscience
Reconstruction and simulation strategies Caveats and summary
Synapses Synaptic dynamics
Single neuron data collection techniques
Summary and Caveats
Rationale and Approaches to Simulation Neuroscience
Enrol in the Simulation Neuroscience online course by edX and master the art of digitally reconstructing the neurons.
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based
Learning efforts 5-8 Hours Per Week
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
Advanced level course
Five-eight hours of effort required per week
English language course
Video transcripts in English
- 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
Course and certificate fees
Type of course
- 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
Simulation Neuroscience - Certificate
certificate providing authority
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
- 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.
Introduction to Simulation Neuroscience
The provenance model and entity design
Fixed data approach for data integration
Knowledge graphs and data integrations
Acquisition of neuron morphology and electrophysiology data
Creating your domain
Motivation of data-integration
Design a provenance entity
Understanding neuronal morphologies through NeuroM Statistics
Visualisation of morphometric data
Introduction to neuroinformatics
Design an entity
Architecture: Blue Brain Nexus
Knowledge space and Brain atlases
Morphological feature extraction
Blue Brain Nexus
Hodgkin and Huxley
A structural introduction
An electrical device
Electrical neuron model
Making it active
Adding dendrite connecting cells
The motivation for studying electrical brain
Passive Single-cell electrical model
Creating single-cell electrical models: tutorial
Introduction to the single neuron
Modelling the electrical activity
Hosting and testing your synapse model
Rall’s cable model
Modelling synaptic transmission
Modelling dynamic synapses tutorial
Compiling your modifies
Modelling synaptic potential
Modelling synaptic transmission between different neurons
Defining a mod file for dynamic TM synapse compilation and testing the mod file
Modelling the potential
Defining your synapse
Reconfigure your synapse to biological ranges
Constraining neurons models using experimental data
Constraining neuron models using experimental data
Tools for constraining neuron models
Computational aspects for optimisation
Tutorials for optimisation and setting up the components
Accessing the NMC portal
Interacting and downloading the single-cell models and Injecting a current
Running models on your local computer
How it helps
edX’s Simulation Neuroscience programme has a host of benefits for its participants. Firstly, the new and emerging field is taught by worldwide, renowned neuroscientists. Second, you can negotiate the programme modules at your own pace, given the training course’s self-paced nature.
The programme also features hands-on exercises in HBP brain simulation software, which allows you to garner industry-specific skills. Lastly, if you add the certificate into the mix, you get an all-round, employability-boosting, learning experience.
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.
Duke University, Durham via Coursera
Swiss Federal Institute of Technology Lausanne via Edx
Swiss Federal Institute of Technology Lausanne via Edx
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