학술논문

Graph-Based Models of Cortical Axons for the Prediction of Neuronal Response to Extracellular Electrical Stimulation
Document Type
Conference
Source
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) IEEE Engineering in Medicine and Biology Society (EMBC), 2018 40th Annual International Conference of the. :1380-1383 Jul, 2018
Subject
Bioengineering
Axons
Computational modeling
Extracellular
Biological system modeling
Electrical stimulation
Language
ISSN
1558-4615
Abstract
Over the past decade, many important insights to brain function have been obtained through clever application of detailed compartmental model neurons. New computing capabilities brought opportunities to study large networks of model neurons. Certain applications for these models, such as extracellular electrical stimulation, demand a very high degree of biological realism. While dendrites and somatic morphology may be obtained from explicit reconstructions, this approach is less useful for axonal structures, which are more difficult to characterize across a neuronal population. The purpose of this paper is to extend neuronal morphology generative models to highly branched axon terminal arbors as well as to present a clear use-case for such models in the study of cortical tissue response to externally applied electric fields. The results of this work are (i) presentation and quantitative/qualitative description of generated fibers and (ii) an extracellular electrical stimulation strength-duration study.