This lectures series provides Introduction to neuroinformatics.
Topics covered:
Data analysis and neuronal coding databases and ontologies, multiscale modeling, neuroengineering, simulation/computation/workflows, visualization
INCF Short course: Introduction to neuroinformatics
Course Features
Data analysis and neuronal coding databases and ontologies
Multiscale modeling
Neuroengineering
Simulation/computation/workflows
Visualization
Lessons of this Course
1
1
Duration:
34:27
Speaker:
This lecture covers an introduction to neuroinformatics and its subfields, the content of the short course and future neuroinformatics applications.
2
2
Duration:
1:23:03
Speaker:
This lecture covers an introduction to connectomics, and image processing tools for the study of connectomics.
3
3
Duration:
1:32:17
Speaker:
This lecture covers modeling the neuron in silicon, modeling vision and audition and sensory fusion using a deep network.
4
4
Duration:
1:48:18
Speaker:
This lecture gives an introduction to simulation, models, and the neural simulation tool NEST.
5
5
Duration:
1:23:01
Speaker:
This lecture covers an Introduction to neuron anatomy and signaling, and different types of models, including the Hodgkin-Huxley model.
6
6
Duration:
1:35:33
Speaker:
This lecture covers describing and characterizing an input-output relationship.
7
7
Duration:
1:40:21
Speaker:
This lecture covers acquisition techniques, the physics of MRI, diffusion imaging, prediction using fMRI.
8
8
Duration:
1:30:45
Speaker:
This lecture covers structured data, databases, federating neuroscience-relevant databases, ontologies.
