Skip to main content
Lesson title:

This lecture covers modeling the neuron in silicon, modeling vision and audition and sensory fusion using a deep network. 

Difficulty level: Beginner
Duration: 1:32:17
Speaker: : Shih-Chii Liu
Lesson title:

Presentation of a simulation software for spatial model neurons and their networks designed primarily for GPUs.

Difficulty level: Beginner
Duration: 21:15
Speaker: : Tadashi Yamazaki
Lesson title:

Presentation of past and present neurocomputing approaches and hybrid analog/digital circuits that directly emulate the properties of neurons and synapses.

Difficulty level: Beginner
Duration: 41:57
Speaker: : Giacomo Indiveri
Lesson title:

Presentation of the Brian neural simulator, where models are defined directly by their mathematical equations and code is automatically generated for each specific target.

Difficulty level: Beginner
Duration: 20:39
Speaker: : Giacomo Indiveri
Lesson title:

The lecture covers a brief introduction to neuromorphic engineering, some of the neuromorphic networks that the speaker has developed, and their potential applications, particularly in machine learning.

Difficulty level: Intermediate
Duration: 19:57
Lesson title:

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

Difficulty level: Beginner
Duration: 1:30:45
Speaker: : Maryann Martone
Lesson title:

This lecture will highlight our current understanding and recent developments in the field of neurodegenerative disease research, as well as the future of diagnostics and treatment of neurodegenerative diseases.

Difficulty level: Beginner
Duration: 39:05
Speaker: : Nir Giladi
Lesson title:

2nd part of the lecture. This lecture will highlight our current understanding and recent developments in the field of neurodegenerative disease research, as well as the future of diagnostics and treatment of neurodegenerative diseases.

Difficulty level: Beginner
Duration: 45:27
Speaker: : Nir Giladi
Lesson title:

This lecture will provide an overview of neuroimaging techniques and their clinical applications

Difficulty level: Beginner
Duration: 41:00
Speaker: : Dafna Ben Bashat
Lesson title:

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

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

The lecture focuses on rationale for employing neuroimaging methods for movement disorders

Difficulty level: Beginner
Duration: 1:04:04
Speaker: : Bogdan Draganski
Lesson title:

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

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

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

Difficulty level: Beginner
Duration: 5:36
Speaker: : Unknown
Lesson title:

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

Difficulty level: Beginner
Duration: 1:22
Speaker: : Unknown
Lesson title:

This tutorial shows how to run analysis in OpenNeuro.org

Difficulty level: Beginner
Duration: 2:26
Speaker: : Unknown
Lesson title:

Inferring results from incomplete data

Difficulty level: Beginner
Duration: 4:28
Speaker: : Barton Poulson
Lesson title:

Finding parameter values, confidence intervals.

Difficulty level: Beginner
Duration: 08:04
Speaker: : Barton Poulson
Lesson title:

Methods for estimating parameters.

Difficulty level: Beginner
Duration: 5:29
Speaker: : Barton Poulson
Lesson title:

Measuring the correspondece between data and model.

Difficulty level: Beginner
Duration: 3:30
Speaker: : Barton Poulson
Lesson title:

How to choose useful variables.

Difficulty level: Beginner
Duration: 6:15
Speaker: : Barton Poulson