Lecture on functional brain parcellations and a set of tutorials on bootstrap agregation of stable clusters (BASC) for fMRI brain parcellation which were 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.

Neuronify is an educational tool meant to create intuition for how neurons and neural networks behave. You can use it to combine neurons with different connections, just like the ones we have in our brain, and explore how changes on single cells lead to behavioral changes in important networks. Neuronify is based on an integrate-and-fire model of neurons. This is one of the simplest models of neurons that exist. It focuses on the spike timing of a neuron and ignores the details of the action potential dynamics. These neurons are modeled as simple RC circuits. When the membrane potential is above a certain threshold, a spike is generated and the voltage is reset to its resting potential. This spike then signals other neurons through its synapses.

Neuronify aims to provide a low entry point to simulation-based neuroscience.

As a part of NeuroHackademy 2020, Tara Madhyastha (University of Washington), Andrew Crabb (AWS), and Ariel Rokem (University of Washington) give a lecture on Cloud Computing, focusing on Amazon Web Services. 

This video is provided by the University of Washington eScience Institute.

Shawn Brown presents an overview of CBRAIN, a web-based platform that allows neuroscientists to perform computationally intensive data analyses by connecting them to high-performance-computing facilities across Canada and around the world.

This talk was given in the context of a Ludmer Centre event in 2019.

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

Introductory presentation on how data science can help with scientific reproducibility.

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

Introduction to the course Cellular Mechanisms of Brain Function.

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

Introduction to the course Cellular Mechanisms of Brain Function.

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

Spatiotemporal dynamics of the membrane potential.

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.

Neurotransmitter release in the presynaptic specialization.

Synaptic modulation through diffusing neurotransmitters.

Glutamatergic transmission.

Glutamate release after an action potential. Resulting post-synaptic potentials in a biophysically realistic situation.