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Lecture title:

Manipulate the default connectome provided with TVB to see how structural lesions effect brain dynamics. In this hands-on session you will insert lesions into the connectome within the TVB graphical user interface. Afterwards the modified connectome will be used for simulations and the resulting activity will be analysed using functional connectivity.

Difficulty level: Beginner
Duration: 31:22
Speaker: : Paul Triebkorn
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EEGLAB is an interactive Matlab toolbox for processing continuous and event-related EEG, MEG and other electrophysiological data incorporating independent component analysis (ICA), time/frequency analysis, artifact rejection, event-related statistics, and several useful modes of visualization of the averaged and single-trial data. EEGLAB runs under Linux, Unix, Windows, and Mac OS X.

Difficulty level: Beginner
Duration: 15:32
Speaker: : Arnaud Delorme
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Difficulty level: Beginner
Duration: 6:53
Speaker: : Arnaud Delorme
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Difficulty level: Beginner
Duration: 10:56
Speaker: : Arnaud Delorme
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Difficulty level: Beginner
Duration: 6:06
Speaker: : Arnaud Delorme
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Difficulty level: Beginner
Duration: 9:20
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Difficulty level: Beginner
Duration: 10:55
Speaker: : Arnaud Delorme
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Difficulty level: Beginner
Duration: 8:30
Speaker: : Arnaud Delorme
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Difficulty level: Beginner
Duration: 11:53
Speaker: : Arnaud Delorme
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Difficulty level: Beginner
Duration: 11:48
Speaker: : Arnaud Delorme
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Difficulty level: Beginner
Duration: 10:46
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Difficulty level: Beginner
Duration: 5:08
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Difficulty level: Beginner
Duration: 13:01
Speaker: : Arnaud Delorme
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Difficulty level: Beginner
Duration: 11:25
Speaker: : Arnaud Delorme
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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
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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
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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
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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
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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
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This lecture covers describing and characterizing an input-output relationship.

Difficulty level: Beginner
Duration: 1:35:33