Modeling Practice I (Intro Lecture)
Modeling Practice I (Intro Lecture)
This lecture is part of the Neuromatch Academy (NMA), a massive, interactive online summer school held in 2020 that provided participants with experiences spanning from hands-on modeling experience to meta-science interpretation skills across just about everything that could reasonably be included in the label "computational neuroscience".
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 question and answer sessions.
Topics covered in this lesson
- How to move from a scientific question to a model
- Framing questions
- Model implementation and evaluation
- 10 step guide on how to succeed in modeling
Prerequisites
- Experience with Python Programming Language
- Completion of Model Types I Lecture
Back to the course