Lesson type
Difficulty level
Course:
Introduction to stability analysis of neural models
Difficulty level: Intermediate
Duration: 1:26:06
Speaker: : Bard Ermentrout
Course:
Introduction to stability analysis of neural models
Difficulty level: Intermediate
Duration: 1:25:38
Speaker: : Bard Ermentrout
Course:
Oscillations and bursting
Difficulty level: Intermediate
Duration: 1:24:30
Speaker: : Bard Ermentrout
Course:
Oscillations and bursting
Difficulty level: Intermediate
Duration: 1:31:57
Speaker: : Bard Ermentrout
Course:
Weakly coupled oscillators
Difficulty level: Intermediate
Duration: 1:26:02
Speaker: : Bard Ermentrout
Course:
Continuation of coupled oscillators
Difficulty level: Intermediate
Duration: 1:24:44
Speaker: : Bard Ermentrout
Course:
Firing rate models.
Difficulty level: Intermediate
Duration: 1:26:42
Speaker: : Bard Ermentrout
Course:
Pattern generation in visual system hallucinations.
Difficulty level: Intermediate
Duration: 1:20:42
Speaker: : Bard Ermentrout
Introduction to stability analysis of neural models
Difficulty level: Intermediate
Duration: 1:26:06
Speaker: : Bard Ermentrout
Introduction to stability analysis of neural models
Difficulty level: Intermediate
Duration: 1:25:38
Speaker: : Bard Ermentrout
Weakly coupled oscillators
Difficulty level: Intermediate
Duration: 1:26:02
Speaker: : Bard Ermentrout
Continuation of coupled oscillators
Difficulty level: Intermediate
Duration: 1:24:44
Speaker: : Bard Ermentrout
Pattern generation in visual system hallucinations.
Difficulty level: Intermediate
Duration: 1:20:42
Speaker: : Bard Ermentrout
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
Tutorial on how to simulate brain tumor brains with TVB (reproducing publication: Marinazzo et al. 2020 Neuroimage). This tutorial comprises a didactic video, jupyter notebooks, and full data set for the construction of virtual brains from patients and health controls. Authors: Hannelore Aerts, Michael Schirner, Ben Jeurissen, DIrk Van Roost, Eric Achten, Petra Ritter, Daniele Marinazzo
Difficulty level: Intermediate
Duration: 10:01
Speaker: :
The tutorial comprises a didactic video and jupyter notebooks (reproducing publication: Falcon et al. 2016 eNeuro). Contributors: Daniele Marinazzo, Petra Ritter, Paul Triebkorn, Ana Solodkin
Difficulty level: Intermediate
Duration: 7:43
Speaker: :
Course:
This lecture and tutorial focuses on measuring human functional brain networks. The lecture and tutorial were part of the 2019 Neurohackademy, a 2-week hands-on summer institute in neuroimaging and data science held at the University of Washington eScience Institute.
Difficulty level: Intermediate
Duration: 50:44
Speaker: : Caterina Gratton