In this lecture, you will learn about rules governing coupled oscillators, neural synchrony in networks, and theoretical assumptions underlying current understanding.
In this lesson, you will learn about phenomena of neural populations such as synchrony, oscillations, and bursting.
This lesson provides more context around weakly coupled oscillators.
In this lesson, you will learn about neural activity pattern generation in visual system hallucinations.
This lesson describes how DataLad allows you to track and mange both your data and analysis code, thereby facilitating reliable, reproducible, and shareable research.
This lecture gives an overview of how to prepare and preprocess neuroimaging (EEG/MEG) data for use in TVB.
This lecture discusses the challenges of protecting hospital data.
This lecture discusses differential privacy and synthetic data in the context of medical data sharing in clinical neurosciences.
This lecture focuses on ontologies for clinical neurosciences.