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INCF Short course: Introduction to neuroinformatics

By
Category
Level
Beginner

This lectures series provides Introduction to neuroinformatics.

Topics covered:

Data analysis and neuronal coding databases and ontologies, multiscale modeling, neuroengineering, simulation/computation/workflows, visualization

Data analysis and neuronal coding databases and ontologies
Multiscale modeling
Neuroengineering
Simulation/computation/workflows
Visualization
Lessons of this Course
1
Duration:
34:27

This lecture covers an introduction to neuroinformatics and its subfields, the content of the short course and future neuroinformatics applications.

2
Duration:
1:23:03

This lecture covers an introduction to connectomics, and image processing tools for the study of connectomics. 

3
Duration:
1:32:17

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

4
Duration:
1:48:18

This lecture gives an introduction to simulation, models, and the neural simulation tool NEST. 

5
Duration:
1:23:01

This lecture covers an Introduction to neuron anatomy and signaling, and different types of models, including the Hodgkin-Huxley model.

6
Duration:
1:35:33

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

7
Duration:
1:40:21

This lecture covers acquisition techniques, the physics of MRI, diffusion imaging, prediction using fMRI. 

8
Duration:
1:30:45

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