Hardware for computing for non-ICT specialists

This lecture provides a history of data management, recent developments data management, and a brief description of scientific data management.

Computer arithmetic is necessarily performed using approximations to the real numbers they are intended to represent, and consequently it is possible for the discrepancies between the actual solution and the approximate solutions to diverge, i.e. to become increasingly different. This lecture focuses on how this happens and techniques for reducing the effects of these phenomena and discuss systems which are chaotic.

This lecture will addresses what it means for a problem to have a computable solution, methods for combining computability results to analyse more complicated problems, and finally look in detail at one particular problem which has no computable solution: the halting problem.

This lecture focuses on computational complexity which lies at the heart of computer science thinking. In short, it is a way to quickly gauge an approximation to the computational resource required to perform a task. Methods to analyse a computer program and to perform the approximation are presented. Speaker: David Lester.

This lecture covers an introduction to connectomics, and image processing tools for the study of connectomics. 

This lecture covers describing and characterizing an input-output relationship.

This lecture covers acquisition techniques, the physics of MRI, diffusion imaging, prediction using fMRI. 

This lecture covers structured data, databases, federating neuroscience-relevant databases, ontologies. 

This lecture will provide an overview of neuroimaging techniques and their clinical applications.

How genetics can contribute to our understanding of psychiatric phenotypes.

Part 1 of 2 of a tutorial on statistical models for neural data

Part 2 of 2 of a tutorial on statistical models for neural data.

A short reel on who we are, what we're doing and why we're doing it

This video will teach you the basics of navigating the OSF, a free research management tool, and creating your first projects.

This webinar walks you through the basics of creating an OSF project, structuring it to fit your research needs, adding collaborators, and tying your favorite online tools into your project structure.

This webinar will introduce how to use the Open Science Framework (OSF; https://osf.io) in a Classroom. The OSF is a free, open source web application built to help researchers manage their workflows. The OSF is part collaboration tool, part version control software, and part data archive. The OSF connects to popular tools researchers already use, like Dropbox, Box, Github and Mendeley, to streamline workflows and increase efficiency.

Organizing related projects with Links, Forks, and Templates.

This webinar will introduce the integration of JASP Statistical Software (https://jasp-stats.org/) with the Open Science Framework (OSF; https://osf.io). The OSF is a free, open source web application built to help researchers manage their workflows

1. How keeping track of the different file versions is important for efficient reproducible research practices
2. How version control works on the OSF
3. How researchers can view and download previous versions of files