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Introduction to the Brain Imaging Data Structure (BIDS): a standard for organizing human neuroimaging datasets. This lecture was part of the 2018 Neurohackademy, a 2-week hands-on summer institute in neuroimaging and data science held at the University of Washington eScience Institute.

Difficulty level: Intermediate
Duration: 56:49

NWB: An ecosystem for neurophysiology data standardization

Difficulty level: Intermediate
Duration: 29:53
Speaker: : Oliver Ruebel

DAQCORD is a framework for the design, documentation and reporting of data curation methods in order to advance the scientific rigour, reproducibility and analysis of the data. This lecture covers the rationale for developing the framework, the process in which the framework was developed, and ends with a presentation of the framework. While the driving use case for DAQCORD was clinical traumatic brain injury research, the framework is applicable to clinical studies in other domains of clinical neuroscience research.

Difficulty level: Intermediate
Duration: 17:08
Speaker: : Ari Ercole

PyNN is a simulator-independent language for building neuronal network models. The PyNN API aims to support modelling at a high-level of abstraction (populations of neurons, layers, columns and the connections between them) while still allowing access to the details of individual neurons and synapses when required. PyNN provides a library of standard neuron, synapse, and synaptic plasticity models which have been verified to work the same on the different supported simulators. PyNN also provides a set of commonly-used connectivity algorithms (e.g. all-to-all, random, distance-dependent, small-world) but makes it easy to provide your own connectivity in a simulator-independent way. This lecture was part of the 7th SpiNNaker Workshop held 3 - 6 October 2017.

Difficulty level: Intermediate
Duration: 25:49

This lecture and tutorial focuses on measuring human functional brain networks. The lecture and tutorial 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.

Difficulty level: Intermediate
Duration: 50:44
Speaker: : Caterina Gratton

Learn how to create a standard extracellular electrophysiology dataset in NWB using Python

Difficulty level: Intermediate
Duration: 23:10
Speaker: : Ryan Ly

Learn how to create a standard calcium imaging dataset in NWB using Python

Difficulty level: Intermediate
Duration: 31:04
Speaker: : Ryan Ly

Learn how to create a standard intracellular electrophysiology dataset in NWB

Difficulty level: Intermediate
Duration: 20:23
Speaker: : Pamela Baker

Learn how to use the icephys-metadata extension to enter meta-data detailing your experimental paradigm

Difficulty level: Intermediate
Duration: 27:18
Speaker: : Oliver Ruebel

Learn how to create a standard extracellular electrophysiology dataset in NWB using MATLAB

Difficulty level: Intermediate
Duration: 45:46
Speaker: : Ben Dichter

Learn how to create a standard calcium imaging dataset in NWB using MATLAB

Difficulty level: Intermediate
Duration: 39:10
Speaker: : Ben Dichter

Learn how to create a standard intracellular electrophysiology dataset in NWB

Difficulty level: Intermediate
Duration: 20:22
Speaker: : Pamela Baker

Overview of the Braintorm package for analyzing extracellular electrophysiology, including preprocessing, spike sorting, trial alignment, and spectrotemporal decomposition

Difficulty level: Intermediate
Duration: 47:47

Overview of the CaImAn package, and demonstration of usage with NWB

Difficulty level: Intermediate
Duration: 44:37

Overview of the SpikeInterface package, including demonstration of data loading, preprocessing, spike sorting, and comparison of spike sorters

Difficulty level: Intermediate
Duration: 1:10:28
Speaker: : Alessio Buccino

Overview of the NWBWidgets package, including coverage of different data types, and information for building custom widgets within this framework

Difficulty level: Intermediate
Duration: 47:15
Speaker: : Ben Dichter