Search
 
loader loading subjects...
cover
Modeling of Activity-Induced Changes in Signal Propagation Speed of Mechano-Electrically Stimulated Nerve Fiber
Alina Troglio, Roberto de Col, Barbara Namer, Ekaterina Kutafina
93 - 97
10.3233/SHTI210127
Research Article
Studies in Health Technology and Informatics
Volume 281: Public Health and Informatics
Abstract

One of the important questions in the research on neural coding is how the preceding axonal activity affects the signal propagation speed of the following one. We present an approach to solving this problem by introducing a multi-level spike count for activity quantification and fitting a family of linear regression models to the data. The best-achieved score is R2=0.89 and the comparison of different models indicates the importance of long and very short nerve fiber memory. Further studies are required to understand the complex axonal mechanisms responsible for the discovered phenomena.

Download
Creative Commons License