This lesson introduces methods for dimensionality reduction of data, with focus on factor analysis.
This lecture delves into the dynamics of neural computation, from the spiking activity of single neurons to regional cortical population coding and network activity.
This lecture describes Bayesian memory and learning; how to go from observations to latent variables.
This lesson introduces the concept of constraints on information processing, and how studying these constraints can reveal valuable knowledge about how the brain and other systems function.
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 the integration of JASP Statistical Software with the Open Science Framework (OSF).
JupyterHub is a simple, highly extensible, multi-user system for managing per-user Jupyter Notebook servers, designed for research groups or classes. This lecture covers deploying JupyterHub on a single server, as well as deploying with Docker using GitHub for authentication.