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

This lecture provides an overview of depression (epidemiology and course of the disorder), clinical presentation, somatic co-morbidity, and treatment options.

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

What is the difference between attention and consciousness? This lecture describes the scientific meaning of consciousness, journeys on the search for neural correlates of visual consciousness, and explores the possibility of consciousness in other beings and even non-biological structures.

Ion channels and the movement of ions across the cell membrane.

Action potentials, and biophysics of voltage-gated ion channels.

Voltage-gating kinetics of sodium and potassium channels.

The ionic basis of the action potential, including the Hodgkin Huxley model.

Action potential initiation and propagation.

Long-range inhibitory connections in the brain, with examples from three different systems.

How does the brain learn? This lecture discusses the roles of development and adult plasticity in shaping functional connectivity.

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

This tutorial talks about how to upload and version your data in OpenNeuro.org

This tutorial shows how to share your data in OpenNeuro.org

This tutorial shows how to run analysis in OpenNeuro.org

Inferring results from incomplete data

Finding parameter values, confidence intervals.

Methods for estimating parameters.

Measuring the correspondece between data and model.

How to choose useful variables.