Short Course: Introduction to Neuroinformatics
- Source: International Neuroinformatics Coordinating Facility
This lectures series provides an introduction to neuroinformatics.
Lessons in This Course
This lecture covers an introduction to neuroinformatics and its subfields, the content of the short course, and future neuroinformatics applications.
This lecture covers an introduction to connectomics and image processing tools for the study of connectomics.
This lecture covers modeling the neuron in silicon, modeling vision and audition and sensory fusion using a deep network.
This lecture gives an introduction to simulation, models, and the neural simulation tool NEST.
This lecture covers an introduction to neuron anatomy and signaling, and different types of models, including the Hodgkin-Huxley model.
This lecture covers describing and characterizing an input-output relationship.
This lecture covers acquisition techniques, the physics of MRI, diffusion imaging, prediction using fMRI.
This lecture covers structured data, databases, federating neuroscience-relevant databases, ontologies.
TrainingSpace (TS) is an online hub that aims to make neuroscience educational materials more accessible to the global neuroscience community. As a hub, TS provides users with access to:
- Multimedia educational content from courses, conference lectures, and laboratory exercises from some of the world’s leading neuroscience institutes and societies.
- Study tracks to facilitate self-guided study.
- Tutorials on tools and open science resources for neuroscience research.
- A Q&A forum.
- A neuroscience encyclopedia that provides users with access to over 1,000,000 publicly available datasets as well as links to literature references and scientific abstracts.
Topics currently included in TS include: general neuroscience, clinical neuroscience, computational neuroscience, neuroinformatics, computer science, data science, and open science.
All courses and conference lectures in TS include a general description, topics covered, links to prerequisite courses if applicable, and links to software described in or required for the course, as well as links to the next lecture in the course or more advanced related courses. To learn more about TrainingSpace, visit: https://training.incf.org/