Free Online Course on Simulation Neuroscience

Free Online Course on Simulation Neuroscience
Certificate fee scholarship is available for this course.

Institution: Ecole Polytechnique Federale de Lausanne
Start Date: At your own pace

The Federal Institute of Technology in Lausanne is proud to announce a free online course named as “Simulation Neuroscience”. Simulation Neuroscience is an emerging approach to integrate the knowledge dispersed throughout the field of neuroscience.

 In this course, you will learn how to digitally reconstruct a single neuron to better study the biological mechanisms of brain function, behavior, and disease.You will gain the knowledge and skills needed to create simulations of biological neurons and synapses. You may join the course at your own pace.

Course Summary

  • Duration: 6 weeks
  • Commitment: 5-8 hours per week
  • Subject: Biology & Life Sciences
  • Institution: Ecole Polytechnique Federale de Lausanne
  • Languages: English
  • Price: Free
  • Session: At your own pace
  • Requirement: Knowledge of ordinary differential equations, and their numerical solution
  • Certificate Available: Yes

Who Developed the Course

EPFL is the Swiss Federal Institute of Technology in Lausanne. The past decade has seen EPFL ascend to the very top of European institutions of science and technology:

Target Audience

  • Knowledge of ordinary differential equations, and their numerical solution
  • Knowledge of programming in one of Python (preferred), C/C++, Java, MATLAB, R

Where Could This Lead You

After successfully completing the course you can build your career in the following:

  • Virtual Program Design Consultant
  • Research Scientist I, Drug Product Development
  • Molecular Discovery

 Get Extra Benefits

Pursue a Verified Certificate to highlight the knowledge and skills you gain (₹ 3197 INR)

  • Official and Verified: Receive an instructor-signed certificate with the institution’s logo to verify your achievement and increase your job prospects
  • Easily Shareable: Add the certificate to your CV or resume, or post it directly on LinkedIn
  • Proven Motivator: Give yourself an additional incentive to complete the course

 How to Join This Course

You should register yourself here.

Course Format

  • Week 1: Simulation neuroscience: An introduction,
    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
  • Week 2: Neuroinformatics
    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 visualization of morphometric data
  • Week 3: Modeling neurons
    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
  • Week 4: Modeling synapses
    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 synapse
    Compiling your modifies
    Hosting & testing your synapse model
    Reconfigure your synapse to biological ranges
    Defining a mod file for a dynamic TM synapse
    Compiling and testing the modified
  • Week 5: Constraining neurons models with experimental data
    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
  • Week 6: Exam week
    NMC portal
    Accessing the NMC portal
    Running models on your local computer
    Downloading and interacting with the single cell models
    Injecting a current          

 Learning Outcomes

Students will gain skills:

  • Discuss the different types of data for simulation neuroscience
  • How to collect, annotate and register different types of neuroscience data
  • Describe the simulation neuroscience strategies
  • Categorize different classification features of neurons
  • List different characteristics of synapses and behavioral aspects
  • Model a neuron with all its parts (soma, dendrites, axon, synapse) and its behavior
  • Use experimental data on neuronal activity to constrain a model

 Who Will You Learn With

  • Henry Markram: Professor of neuroscience at the Swiss Federal Institute of Technology (EPFL)
  • Idan Segev:  Professor of Computational Neuroscience  at Swiss Federal Institute of Technology Lausanne
  • Sean Hill:  Co-Director of Blue Brain, a Swiss national brain initiative
  • Felix Schürmann:  Adjunct professor at the Ecole Polytechnique Fédérale de Lausanne
  • Eilif Muller: Section Manager of Cells & Circuits in the Simulation Neuroscience Division
  • Srikanth Ramaswamy: Senior Scientist in the Cells & Circuits Section of the Simulation Neuroscience Division
  • Werner Van Geit: Systems specialist in Blue Brain
  • Samuel Kerrien: Section manager of the Neuroinformatics
  • Lida Kanari: Student in the Molecular Systems Section in the Simulation Neuroscience Division.

Conclusion

  • Importance of Course: At the end of this course you will gain the knowledge and skills needed to create simulations of biological neurons and synapses.   Model a neuron with all its parts (soma, dendrites, axon, synaps) and its behavior.
  • Importance of Certificate: You can get a verified certificate to highlight the knowledge and skills you gain. You can prove your success when applying for jobs or courses and display on your LinkedIn or CV.

Detailed Information

 For more information about the course, you may visit the Website.

Apply Now

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