Continuation of coupled oscillators
Firing rate models.
Pattern generation in visual system hallucinations.
Introduction to stability analysis of neural models
Introduction to stability analysis of neural models
Weakly coupled oscillators
Continuation of coupled oscillators
Pattern generation in visual system hallucinations.
In this lecture, the speaker demonstrates Neurokernel's module interfacing feature by using it to integrate independently developed models of olfactory and vision LPUs based upon experimentally obtained connectivity information.
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.
Tutorial on collaborating with Git and GitHub. This tutorial was 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.
This lecture introduces you to the basics of the Amazon Web Services public cloud. It covers the fundamentals of cloud computing and go through both motivation and process involved in moving your research computing to the cloud. This lecture was part of the 2018 Neurohackademy, a 2-week hands-on summer institute in neuroimaging and data science held at the University of Washington eScience Institute.
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.
This talk presents state-of-the-art methods for ensuring data privacy with a particular focus on medical data sharing across multiple organizations.
This lecture talks about the usage of knowledge graphs in hospitals and related challenges of semantic interoperability.