Mathematical Modeling of the Information Process in the Angular Acceleration Biosensor
| Autor: | Victor Antonovich Sadovnichii, N. E. Shulenina, K. V. Tikhonova, T. B. Alexandrova, V. V. Aleksandrov, Rosario Vega, Enrique Soto, G. Yu. Sidorenko |
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| Rok vydání: | 2021 |
| Předmět: |
Statistics and Probability
Angular acceleration Quantitative Biology::Neurons and Cognition Applied Mathematics General Mathematics Acoustics 010102 general mathematics Information processing Vertical axis 01 natural sciences 010305 fluids & plasmas Spike frequency 0103 physical sciences Head (vessel) Primary afferent neuron 0101 mathematics Biosensor Mathematics |
| Zdroj: | Scopus-Elsevier |
| ISSN: | 1573-8795 1072-3374 |
| DOI: | 10.1007/s10958-021-05267-9 |
| Popis: | A mathematical model of the formation of output information in a biosensor of angular acceleration is presented. The functional and numerical parameters of the model have been determined by results of experiments made in 2001–2008. A comparison with the mathematical model of J. M. Goldberg and C. Fernandez (1971) describing the change in spike frequency of the primary afferent neuron spikes in response to an angular acceleration of the head as it turns around a vertical axis is carried out. |
| Databáze: | OpenAIRE |
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