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Lecture title:

Lecture on the most important concepts in software engineering

Difficulty level: Beginner
Duration: 32:59
Speaker: : Jeff Muller
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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
Speaker: :
Lecture title:
Difficulty level: Beginner
Duration: 10:55
Speaker: : Arnaud Delorme
Lecture title:
Difficulty level: Beginner
Duration: 8:30
Speaker: : Arnaud Delorme
Lecture title:
Difficulty level: Beginner
Duration: 11:53
Speaker: : Arnaud Delorme
Lecture title:
Difficulty level: Beginner
Duration: 11:48
Speaker: : Arnaud Delorme
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Difficulty level: Beginner
Duration: 10:46
Speaker: :
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Difficulty level: Beginner
Duration: 5:08
Speaker: :
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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 structured data, databases, federating neuroscience-relevant databases, ontologies. 

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