Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2014 Dec 4;10(12):e1003962. doi: 10.1371/journal.pcbi.1003962

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© 2014 Gjorgjieva et al

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

PMC Copyright notice

Top: An illustration of three – curves (colors) and the corresponding linear input-output relation (black dashed) with slope derived from the mean field. Bottom left: The dynamics has a single stable fixed point and all input currents are attracted to it (indicated by small arrows converging to the fixed point). This corresponds to – curves of GS neurons at all values of . Middle: The dynamics has a line of stable fixed points that allow robust transmission of a large range of input currents in the network. NGS neurons with high values of have such dynamics. Right: The stable line of fixed points is smaller for – curves that are more "thresholding,'' corresponding to NGS neurons with low .

Inline graphic — Top: An illustration of three – curves (colors) and the corresponding linear input-output relation (black dashed) with slope derived from the mean field. Bottom left: The dynamics has a single stable fixed point and all input currents are attracted to it (indicated by small arrows converging to the fixed point). This corresponds to – curves of GS neurons at all values of . Middle: The dynamics has a line of stable fixed points that allow robust transmission of a large range of input currents in the network. NGS neurons with high values of have such dynamics. Right: The stable line of fixed points is smaller for – curves that are more "thresholding,'' corresponding to NGS neurons with low .