Dynamic Properties of Purkinje Cells Having Different Electrophysiological Parameters: A Model Study
Simple spikes and complex spikes are two distinguishing features in neurons of the cerebellar cortex; the motor learning and memory processes are dependent on these firing patterns. In our research, the detailed firing behaviors of Purkinje cells were investigated using a computer compartmental n...
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| Datum: | 2015 |
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| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
Інститут фізіології ім. О.О. Богомольця НАН України
2015
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| Schriftenreihe: | Нейрофизиология |
| Online Zugang: | http://dspace.nbuv.gov.ua/handle/123456789/148138 |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Zitieren: | Dynamic Properties of Purkinje Cells Having Different Electrophysiological Parameters: A Model Study / X. Zhang, S. Q. Liu, H. X. Ren, Y. Wen, Y. J. Zeng // Нейрофизиология. — 2015. — Т. 47, № 1. — С. 4-13. — Бібліогр.: 17 назв. — англ. |
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Digital Library of Periodicals of National Academy of Sciences of Ukraine| Zusammenfassung: | Simple spikes and complex spikes are two distinguishing features in neurons of the cerebellar
cortex; the motor learning and memory processes are dependent on these firing patterns.
In our research, the detailed firing behaviors of Purkinje cells were investigated using a
computer compartmental neuronal model. By means of application of numerical stimuli,
the abundant dynamical properties involved in the multifarious firing patterns, such as the
Max-Min potentials of each spike and period-adding/period-doubling bifurcations, appeared.
Neuronal interspike interval (ISI) diagrams, frequency diagrams, and current-voltage diagrams
for different ions were plotted. Finally, Poincare mapping was used as a theoretical method
to strongly distinguish timing of the above firing patterns. Our simulation results indicated
that firing of Purkinje cells changes dynamically depending on different electrophysiological
parameters of these neurons, and the respective properties may play significant roles in the
formation of the mentioned characteristics of dynamical firings in the coding strategy for
information processing and learning. |
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