Statistical Models for Neural Data: From GLMs to Latent Variables (Part 2)
Statistical Models for Neural Data: From GLMs to Latent Variables (Part 2)
This lesson is part 2 of 2 of a tutorial on statistical models for neural data.
Topics covered in this lesson
- Multiple spike train models (GLMs with coupling)
- Regularization
- Deep Neural Networks
- Extending GLM to conductance-based model
- Fitting latent variable models
Prerequisites
Watch the first part of the lesson
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