Skip to content

rctn/RCTN-neuro-bootcamp

Repository files navigation

RCTN-neuro-bootcamp

Why should you care?

Sparse coding is both a fundamental principle for understanding sensory processing in the brain and an important machine learning technique in its own right.

What is in the tutorial?

Generally, sparse coding is a method to find the underlying factors that generate our data. There are two concrete examples in this tutorial:

First, sparse coding allows us to decompose handwritten digits into their generative components, which are pen strokes. Second, you will see how the properties of the cells in the human visual cortex are predicted by sparse coding of natural images.

Installation:

After installing python, just download the repository and open the main file 'sparse_coding.ipynb' using ipython notebook.

Uses:

Code for the RCTN section of the HWNI Neuroscience Boot Camp Tutorial for the UCB Neuroscience Data Mining Group Introduction to Sparse Coding for Graduate Students Joining the Redwood Center

About

Repo for the RCTN section of the HWNI Neuroscience Boot Camp

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 4

  •  
  •  
  •  
  •  

Languages