Introductory guide to modelling in computational neuroscience

[pgleeson]

Brief description

A general overview of modelling in computational neuroscience with plenty of links & references which would be a good first entry point for a (computer literate) newcomer to computational neuroscience.

Expected result

A guide which is accessible for a newcomer to computational neuroscience who wishes to learn some background to the field, as well as the main software tools in use. Contents should include:

• Books
• Review articles
• Classic papers
• Software
• Organisations
• Online courses
• Databases
• Other resources

The page at http://opensourcebrain.org/docs/Help/Background_Information#Introduction_to_Computational_Neuroscience is a start of this. Source of the page is here.

Suggested steps

Fork page at https://github.com/OpenSourceBrain/OSB_Documentation/blob/master/contents/Help/Background_Information/02_Introduction_to_Computational_Neuroscience.md and make edits

Make pull request to main OSB_Documentation repository

Knowledge prerequisites

Knowledge of wider computational neuroscience field.

Mentor

Contact p.gleeson -at- ucl.ac.uk if you are interested in contributing to this task

[souravsingh]

I would like to work on the issue.

[pgleeson]

Thanks @souravsingh. If you have any updates, just open a PR and I'll have a look through them.

[arnabiswas]

I am working on this and have opened a pull request. I have made extensive changes to the documentation but I want some clarification if I should creating multiple atomic commits and a single pull request or one commit per pull request? for now I have created one commit per PR.