This lesson characterizes the pattern generation observed in visual system hallucinations.

This lesson provides an introduction to the role of models in theoretical neuroscience, particularly focusing on David Marr's work on levels of description/analysis of the brain as a complex system: computation, algorithm & representation, and implementation.

In this lesson, you will learn about different types of models, model complexity, and how to choose an appropriate model.

This lesson provides an overview of balanced excitatory-inhibitory (E-I) networks, stability, and gain modulation. 

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 lesson provides an overview on spiking neuron networks and linear response models.

In this lesson, you will learn about Bayesian neuron models and parameter estimation.

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 lecture discusses approaching neural systems from an evolutionary perspective.

This lecture describes non-spiking simple neuron models used in artificial neural networks and machine learning.

This lesson provides a short reel on who we are, what we're doing and why we're doing it.

In this webinar, educators currently implementing collaborative annotation in their classrooms discuss their experiences with collaborative annotation and using Hythothes.is and Canvas App.

This tutorial provides an overview of how to use the feature of Hypothes.is.

This lesson gives a brief overview of the Hypothes.is functionality from an end user's perspective.

This video will teach you the basics of navigating the Open Science Framework 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) in a classroom setting.

This lesson provides instruction on how to organize related projects with OSF features such as links, forks, and templates.