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Modeling Practice

Level
Beginner

Neuromatch Academy aims to introduce traditional and emerging tools of computational neuroscience to trainees. It is appropriate for student population ranging from undergraduates to faculty in academic settings and also includes industry professionals. In addition to teaching the technical details of computational methods, Neuromatch Academy also provide a curriculum centered on modern neuroscience concepts taught by leading professors along with explicit instruction on how and why to apply models. 

 

This course focuses on how to get from a scientific question to a model using concrete examples, presenting a 10-step practical guide on how to succeed in modeling.

Course Features
Lectures
Tutorials
Suggested reading
Recordings of question and answer sessions
Discussion Forum on Neurostars.org
Lessons of this Course
1
1
Duration:
29:52
Speaker:

This lecture focuses on how to get from a scientific question to a model using concrete examples. We will present a 10-step practical guide on how to succeed in modeling. This lecture contains links to 2 tutorials, lecture/tutorial slides, suggested reading list, and 3 recorded Q&A sessions.

2
4
Duration:
22:51
Speaker:

This lecture formalizes modeling as a decision process that is constrained by a precise problem statement and specific model goals. We provide real-life examples on how model building is usually less linear than presented in Modeling Practice I