Welcome to the CTLN Project Website!
This project is funded by NIH R01 EB022862 (2016-19).

CTLN stands for Combinatorial Threshold-Linear Network. This is a recurrent attractor neural network model, whose dynamics are shaped by the structure of an underlying connectivity graph. Unlike the classical Hopfield model, CTLN networks are not typically symmetric and feature both static and dynamic attractors.

This website is under construction. Just a few items so far…

1. Our preprint on the CTLN model can be found on arXiv.org.

2. Our poster for the 2016 BRAIN Initiative PI meeting: CTLN poster.

3. Listen to our network songs!

4. Slides from Carina’s talk in Sapporo, Japan (Aug 2017): Japan slides.