Skip to content
This repository has been archived by the owner on Jul 24, 2018. It is now read-only.

Latest commit

 

History

History
24 lines (14 loc) · 619 Bytes

README.md

File metadata and controls

24 lines (14 loc) · 619 Bytes

Adaptive Sparse Coding Cortical Model

Introduction

This repository contains the core code used for the model published in the paper "Fundamental principles of cortical computation: unsupervised learning with prediction, compression and feedback".

Starting up

Make sure that virtualenv is installed on your system first. Then clone the repo and run the following commands:

git clone [email protected]:braincorp/ASC
cd ASC

sudo ./install_ubuntu_dependencies.sh

./setup.sh

source venv/bin/activate
python ASC/train_sparse_coding.py [list of video files separated by spaces] [total number of frames]