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Lecture title:

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

Difficulty level: Beginner
Duration:
Speaker: : Michel Dumontier
Lecture title:

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

Difficulty level: Beginner
Duration: 1:35:33
Lecture title:

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

Difficulty level: Beginner
Duration: 1:45:48
Speaker: : Jonathan Pillow
Lecture title:

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

Difficulty level: Beginner
Duration: 1:50:31
Speaker: : Jonathan Pillow
Lecture title:

From the retina to the superior colliculus, the lateral geniculate nucleus into primary visual cortex and beyond, this lecture gives a tour of the mammalian visual system highlighting the Nobel-prize winning discoveries of Hubel & Wiesel.

Difficulty level: Beginner
Duration: 56:31
Speaker: : Clay Reid
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From Universal Turing Machines to McCulloch-Pitts and Hopfield associative memory networks, this lecture explains what is meant by computation.

Difficulty level: Beginner
Duration: 55:27
Speaker: : Christof Koch
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Ion channels and the movement of ions across the cell membrane.

Difficulty level: Beginner
Duration: 25:51
Speaker: : Carl Petersen
Lecture title:

A basic introduction to clinical presentation of schizophrenia, its etiology, and current treatment options.

Difficulty level: Beginner
Duration: 51:49
Lecture title:

Introduction to the course Cellular Mechanisms of Brain Function.

Difficulty level: Beginner
Duration: 12:20
Speaker: : Carl Petersen
Lecture title:

Introduction to the course Cellular Mechanisms of Brain Function.

Difficulty level: Beginner
Duration: 12:20
Speaker: : Carl Petersen
Lecture title:

Action potential initiation and propagation.

Difficulty level: Beginner
Duration: 09:13
Speaker: : Carl Petersen
Lecture title:

Synaptic transmission and neurotransmitters

Difficulty level: Beginner
Duration: 28:22
Speaker: : Carl Petersen
Lecture title:

Neurodata Without Borders (NWB) is a data standard for neurophysiology that provides neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data.

Difficulty level: Beginner
Duration: 1:11
Speaker: : Ben Dichter
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Neuroscience Information Exchange (NIX) Format data model allows storing fully annotated scientific datasets, i.e. the data together with rich metadata and their relations in a consistent, comprehensive format. Its aim is to achieve standardization by providing a common data structure and APIs for a multitude of data types and use cases, focused on but not limited to neuroscience. In contrast to most other approaches, the NIX approach is to achieve this flexibility with a minimum set of data model elements.

Difficulty level: Beginner
Duration: 1:03
Speaker: : Thomas Wachtler
Lecture title:

How genetics can contribute to our understanding of psychiatric phenotypes.

Difficulty level: Beginner
Duration: 55:15
Speaker: : Sven Cichon
Lecture title:

Tutorial describing the basic search and navigation features of the Allen Mouse Brain Atlas

Difficulty level: Beginner
Duration: 6:40
Speaker: : Unknown
Lecture title:

Tutorial describing the basic search and navigation features of the Allen Developing Mouse Brain Atlas

Difficulty level: Beginner
Duration: 6:35
Speaker: : Unknown
Lecture title:

This tutorial demonstrates how to use the differential search feature of the Allen Mouse Brain Atlas to find gene markers for different regions of the brain and to visualize this gene expression in three-dimensional space. Differential search is also available for the Allen Developing Mouse Brain Atlas and the Allen Human Brain Atlas.

Difficulty level: Beginner
Duration: 6:31
Speaker: : Unknown
Lecture title:

GeneWeaver is a web application for the integrated cross-species analysis of functional genomics data to find convergent evidence from heterogeneous sources. The application consists of a large database of gene sets curated from multiple public data resources and curated submissions, along with a suite of analysis tools designed to allow flexible, customized workflows through web-based interactive analysis or scripted API driven analysis. Gene sets come from multiple widely studied species and include ontology annotations, brain gene expression atlases, systems genetic study results, gene regulatory information, pathway databases, drug interaction databases and many other sources. Users can retrieve, store, analyze and share gene sets through a graded access system. Analysis tools are based on combinatorics and statistical methods for comparing, contrasting, and classifying gene sets based on their members.

Difficulty level: Beginner
Duration: 1:03:26
Speaker: : Erich J. Baker
Lecture title:

GeneWeaver is a web application for the integrated cross-species analysis of functional genomics data to find convergent evidence from heterogeneous sources. The application consists of a large database of gene sets curated from multiple public data resources and curated submissions, along with a suite of analysis tools designed to allow flexible, customized workflows through web-based interactive analysis or scripted API driven analysis. Gene sets come from multiple widely studied species and include ontology annotations, brain gene expression atlases, systems genetic study results, gene regulatory information, pathway databases, drug interaction databases and many other sources. Users can retrieve, store, analyze and share gene sets through a graded access system. Analysis tools are based on combinatorics and statistical methods for comparing, contrasting and classifying gene sets based on their members.

Difficulty level: Beginner
Duration: 25:53
Speaker: :