Dynamic Networks Tutorial 1 Video 1

Neuromatch Academy
Neuromatch Academy
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Published 2020-07-26
Description: In part 1 of the first tutorial, we explain how to model a network with a single population of neurons and introduce neural rate-based models. We discuss feedforward networks and define the F-I (firing rate vs. input). We also show how to solve the network activity vs. time.

We thank Ayoade Adeyemi for editing this video, and Cody Cao for manually adjusting the English captions. Chinese and Spanish translations will hopefully be added at a later point in time.

Tutorial Link: colab.research.google.com/github/NeuromatchAcademy…
Playlist Link:    • Dynamic Networks  

Neuromatch Academy (NMA) is a massive, interactive, online summer school experience 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". We're a group of neuroscientists from around the globe who have run smaller, in-person summer schools in the past, but created NMA in response to the COVID-19 pandemic.

Website: www.neuromatchacademy.org/
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