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Hands-On: Epilepsy & Virtual Mouse Brain
Course:
The Virtual Brain Node #6 Workshop

Explore how to setup an epileptic seizure simulation with the TVB graphical user interface. This lesson will show you how to program the epileptor model in the brain network to simulate a epileptic seizure originating in the hippocampus. It will also show how to upload and view mouse connectivity data, as well as give a short introduction to the python script interface of TVB.

Difficulty level: Intermediate
Duration: 58:06
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
NeuronUnit
Course:
Open collaboration in computational neuroscience

This lecture covers NeuronUnit, a library that builds upon SciUnit and integrates with several existing neuroinformatics resources to support validating single-neuron models using data gathered by neurophysiologists.

Difficulty level: Intermediate
Duration: 17:21
Speaker: : Richard Gerkin
NeuroElectro: Semi-automated approaches for drawing inferences from the vast neurophysiology literature
Course:
Open collaboration in computational neuroscience

An introduction to the NeuroElectro project, which aims to organize information on cellular neurophysiology. Speaker: Shreejoy Tripathy

Difficulty level: Intermediate
Duration: 17:41
Speaker: : Shreejoy Tripathy
Large-scale spatio-temporal patterns in motor cortex involved in motor control
Course:
Analysis and interpretation of massively parallel electrophysiological data

Simultaneously recorded neurons in non-human primates coordinate their spiking activity in a sequential manner that mirrors the dominant wave propagation directions of the local field potentials.

Difficulty level: Intermediate
Duration: 26:54
Speaker: : Nicholas Hatsopoulos