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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Збережено в:
Бібліографічні деталі
Дата:2015
Автори: Zhang, X., Liu, Q., Ren, H. X., Wen, Y., Zeng, Y.J.
Формат: Стаття
Мова:English
Опубліковано: Інститут фізіології ім. О.О. Богомольця НАН України 2015
Назва видання:Нейрофизиология
Онлайн доступ:https://nasplib.isofts.kiev.ua/handle/123456789/148138
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Назва журналу:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Цитувати: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
Опис
Резюме: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.