1 / 12

Neural Network of C. elegans is a Small-World Network

Neural Network of C. elegans is a Small-World Network. Masroor Hossain Wednesday, February 29 th , 2012 Introduction to Complex Systems. Background on C. elegans. It’s a transparent nematode (roundworm).

hart
Download Presentation

Neural Network of C. elegans is a Small-World Network

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Neural Network of C. elegansis a Small-World Network MasroorHossain Wednesday, February 29th, 2012 Introduction to Complex Systems

  2. Background on C. elegans • It’s a transparent nematode (roundworm). • The hermaphrodite version has a simple nervous system comprising about 302 neurons. • It’s neural network is completely mapped. • The pattern of connectivity portrays small-world network characteristics.

  3. Recall • The characteristic path length L is defined as the number of edges in the shortest path between two vertices, averaged over all pairs of vertices. • The clustering coefficient C measures the degree to which nodes in a graph tend to cluster together - how close neighbors are to being a clique.

  4. Procedure for Measuring C – from class

  5. Random Rewiring Procedure • p = 0 represents regularity (no edge) • p = 1 represents disorder (clique) • n = 20 and k = 4

  6. Random Rewiring Procedure • For C. elegans, an edge/link joins two neurons if they are connected by a synapse or gap junction. • There are n = 282 nodes and k = 14 edges.

  7. NetLogo Models

  8. Cumulative Distribution of Outgoing and Incoming Neural Connections

  9. Questions?

More Related