Analysis of long-term depression in the Purkinje cell circuit (a model study)
In the cerebellum, long-term depression (LTD) plays a key function in sculpting neuronal circuits to store information, since motor learning and memory are thought to be associated with such long-term changes in synaptic efficacy. To better understand the principles of transmission of information...
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| Date: | 2014 |
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| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Інститут фізіології ім. О.О. Богомольця НАН України
2014
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| Series: | Нейрофизиология |
| Online Access: | https://nasplib.isofts.kiev.ua/handle/123456789/148249 |
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| Journal Title: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Cite this: | Analysis of long-term depression in the Purkinje cell circuit (a model study) / X.C. Zhang, Sh.Q. Liu, H. Ren, Y.I. Zeng, G.X. Zhan // Нейрофизиология. — 2014. — Т. 46, № 1. — С. 28-36. — Бібліогр.: 27 назв. — англ. |
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Digital Library of Periodicals of National Academy of Sciences of Ukraine| Summary: | In the cerebellum, long-term depression (LTD) plays a key function in sculpting neuronal
circuits to store information, since motor learning and memory are thought to be associated
with such long-term changes in synaptic efficacy. To better understand the principles of
transmission of information in the cerebellum, we, in our model, distinguished different types
of neurons (type 1- and type 2-like) to examine the neuronal excitability and analyze the
interspike interval (ISI) bifurcation phenomenon in these units, and then built a Purkinje cell
circuit to study the impact of external stimulation on LTD in this circuit. According to the
results of computational analysis, both climbing fiber-Purkinje cell and granule cell-Purkinje
cell circuits were found to manifest LTD; the external stimuli would influence LTD by
changing both depression time and depression intensity. All of the simulated results showed
that LTD is a very significant factor in the Purkinje circuit networks. Finally, to deliver the
learning regularities, we simulated spike timing-dependent plasticity (STDP) by increasing
the CaP conductance. |
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