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Lecture 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
Lecture 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
Lecture 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
Lecture 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
Lecture title:

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

Difficulty level: Beginner
Duration: 28:08
Speaker: : Carl Petersen
Lecture title:

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

Difficulty level: Beginner
Duration: 27:47
Speaker: : Carl Petersen
Lecture title:

Voltage-gating kinetics of sodium and potassium channels.

Difficulty level: Beginner
Duration: 19:20
Speaker: : Carl Petersen
Lecture title:

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

Difficulty level: Beginner
Duration: 28:29
Speaker: : Carl Petersen
Lecture title:

Action potential initiation and propagation.

Difficulty level: Beginner
Duration: 23:16
Speaker: : Carl Petersen
Lecture title:

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

Difficulty level: Beginner
Duration: 19:05
Speaker: : Carl Petersen
Lecture 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: 1:02:29
Speaker: : Nir Giladi
Lecture title:

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

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

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

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

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

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

This tutorial shows how to run analysis in OpenNeuro.org

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

Inferring results from incomplete data

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

Finding parameter values, confidence intervals.

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

Methods for estimating parameters.

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

Measuring the correspondece between data and model.

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

How to choose useful variables.

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