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Generating Virtual Brain ready imaging data
Course:
The Virtual Brain Node#10 Workshop: Personalized Multi-Scale Brain Simulation

This lecture on generating TVB ready imaging data by Paul Triebkorn is part of the TVB Node 10 series, a 4 day workshop dedicated to learning about The Virtual Brain, brain imaging, brain simulation, personalised brain models, TVB use cases, etc. TVB is a full brain simulation platform.

Difficulty level: Intermediate
Duration: 1:40:52
Speaker: : Paul Triebkorn
Single neuron models - I
Course:
Dynamical neural systems

Introduction to stability analysis of neural models

Difficulty level: Intermediate
Duration: 1:26:06
Speaker: : Bard Ermentrout
Single Neuron Models - II
Course:
Dynamical neural systems

Introduction to stability analysis of neural models

Difficulty level: Intermediate
Duration: 1:25:38
Speaker: : Bard Ermentrout
Neural oscillations, weak coupling and networks
Course:
Dynamical neural systems

Oscillations and bursting

Difficulty level: Intermediate
Duration: 1:24:30
Speaker: : Bard Ermentrout
Neural oscillations and networks II
Course:
Dynamical neural systems

Oscillations and bursting

Difficulty level: Intermediate
Duration: 1:31:57
Speaker: : Bard Ermentrout
Oscillatory networks and the Ott Antonsen theory
Course:
Dynamical neural systems

Weakly coupled oscillators

Difficulty level: Intermediate
Duration: 1:26:02
Speaker: : Bard Ermentrout
Oscillatory networks II
Course:
Dynamical neural systems

Continuation of coupled oscillators

Difficulty level: Intermediate
Duration: 1:24:44
Speaker: : Bard Ermentrout
Firing rate models - networks
Course:
Dynamical neural systems

Firing rate models.

Difficulty level: Intermediate
Duration: 1:26:42
Speaker: : Bard Ermentrout
Spatiotemporal dynamics, waves, pattern formation
Course:
Dynamical neural systems

Pattern generation in visual system hallucinations.

Difficulty level: Intermediate
Duration: 1:20:42
Speaker: : Bard Ermentrout
Single neuron models - I
Course:
Introduction to computational neuroscience

Introduction to stability analysis of neural models

Difficulty level: Intermediate
Duration: 1:26:06
Speaker: : Bard Ermentrout
Single Neuron Models - II
Course:
Introduction to computational neuroscience

Introduction to stability analysis of neural models

Difficulty level: Intermediate
Duration: 1:25:38
Speaker: : Bard Ermentrout
Neural oscillations, weak coupling and networks I
Course:
Introduction to computational neuroscience

Oscillations and bursting

Difficulty level: Intermediate
Duration: 1:24:30
Speaker: : Bard Ermentrout
Neural oscillations and networks II
Course:
Introduction to computational neuroscience

Oscillations and bursting

Difficulty level: Intermediate
Duration: 1:31:57
Speaker: : Bard Ermentrout
Oscillatory networks and the Ott Antonsen theory I
Course:
Introduction to computational neuroscience

Weakly coupled oscillators

Difficulty level: Intermediate
Duration: 1:26:02
Speaker: : Bard Ermentrout
Oscillatory networks II
Course:
Introduction to computational neuroscience

Continuation of coupled oscillators

Difficulty level: Intermediate
Duration: 1:24:44
Speaker: : Bard Ermentrout
Firing rate models - networks
Course:
Introduction to computational neuroscience

Firing rate models.

Difficulty level: Intermediate
Duration: 1:26:42
Speaker: : Bard Ermentrout
Spatiotemporal dynamics, waves, pattern formation
Course:
Introduction to computational neuroscience

Pattern generation in visual system hallucinations.

Difficulty level: Intermediate
Duration: 1:20:42
Speaker: : Bard Ermentrout
The Human Connectome Project
Course:
NeuroTools Webinar series

The Human Connectome Project aims to provide an unparalleled compilation of neural data, an interface to graphically navigate this data and the opportunity to achieve never before realized conclusions about the living human brain.

Difficulty level: Advanced
Duration: 59:06
Speaker: : Jennifer Elam
DataLad: Decentralized distribution and management of scientific datasets
Course:
NeuroTools Webinar series, Versioning & Containerization

In this lesson, Yaroslav O. Halchenko describes how DataLad allows you to track and mange both your data and analysis code, thereby facilitating reliable, reproducible, and shareable research.

Difficulty level: Intermediate
Duration: 59:34
Speaker: : Yaroslav O. Halchenko

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