학술논문

An instruction language for the explicit programming of axonal growth patterns
Document Type
Conference
Source
The 2010 International Joint Conference on Neural Networks (IJCNN) Neural Networks (IJCNN), The 2010 International Joint Conference on. :1-4 Jul, 2010
Subject
Computing and Processing
Communication, Networking and Broadcast Technologies
Nerve fibers
Extracellular
Bifurcation
Biological information theory
Chemicals
Language
ISSN
2161-4393
2161-4407
1098-7576
Abstract
In this paper, we present a language for designing instruction codes leading to the formation of axonal and dendritic branching patterns. Our approach is based on the expression of membrane receptors, which induce specific actions such as elongation, retraction and bifurcation in response to the presence of signaling molecules. We show in simulation how we can use this instruction language to specify the intrinsic properties of neurons, so that their different elongating branches interact with the local environment, and form a desired global morphology.