/course-materials

Primary LanguageJupyter NotebookGNU General Public License v3.0GPL-3.0

course-content

Student notebook: Open In Colab

Instructor notebook: Open In Colab

We will use a spontaneous activity recording from Syeda et al, 2023. We recorded 34,086 neurons from mouse sensorimotor cortex for 2+ hours using two-photon calcium imaging at a rate of 3.2Hz. In the notebook, we will build several encoding models of neural activity based on the orofacial behaviors of mice. The encoding models are increasingly more complicated:

  1. linear regression from spatial keypoints
  2. linear regression from spatiotemporal keypoints
  3. nonlinear regression (i.e. neural networks) from spatiotemporal keypoints

We will use rastermap to visualize the neural activity, and also to visualize the prediction.