Simulation Neuroscience is an emerging approach to integrate the knowledge dispersed throughout the field of neuroscience.
The aim is to build a unified empirical picture of the brain, to study the biological mechanisms of brain function, behaviour and disease. This is achieved by integrating diverse data sources across the various scales of experimental neuroscience, from molecular to clinical, into computer simulations.
This is a unique, massive open online course taught by a multi-disciplinary team of world-renowned scientists. In this first course, you will gain the knowledge and skills needed to create simulations of biological neurons and synapses.
This course is part of a series of three courses, where you will learn to use state-of-the-art modeling tools of the HBP Brain Simulation Platform to simulate neurons, build neural networks, and perform your own simulation experiments. We invite you to join us and share in our passion to reconstruct, simulate and understand the brain!
Week 1: Simulation neuroscience: An introduction, Understanding the brain
Approaches and Rationale of Simulation Neuroscience
The principles of simulation neuroscience
Reconstruction and simulation strategies
Summary and Caveats
Single neuron data collection techniques
Caveats and summary of experimental data techniques
Single neuron data
Summary and Caveats Synapses
Week 2: Neuroinformatics Introduction to neuroinformatics
Text mining Data integration and knowledge graphs
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
Creating your own domain
Conclusion Acquisition of neuron electrophysiology and morphology data
Design an entity
An entity design and the provenance model
Conclusion Morphological feature extraction
Understanding neuronal morphologies using NeuroM
Statistics and visualisation of morphometric data
Week 3: Modeling neurons Introduction to the single neuron
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
Week 4: Modeling synapses Modeling synaptic potential
Modeling the potential
Rall’s cable model Modeling synaptic transmission between neurons
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
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
MOOCs stand for Massive Open Online Courses. These arefree online courses from universities around the world (eg. StanfordHarvardMIT) offered to anyone with an internet connection.
How do I register?
To register for a course, click on "Go to Class" button on the course page. This will take you to the providers website where you can register for the course.
How do these MOOCs or free online courses work?
MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you. They also have student discussion forums, homework/assignments, and online quizzes or exams.