期刊
MATHEMATICAL BIOSCIENCES
卷 258, 期 -, 页码 162-175出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.mbs.2014.09.013
关键词
Cholinergic modulation; Hippocampal GABAergic synapses; Presynaptic depression; Markov Chain Monte Carlo parameter estimation
资金
- NINDS NIH HHS [R01 NS069689] Funding Source: Medline
In this paper we use a simple model of presynaptic neuromodulation of GABA signaling to decipher paired whole-cell recordings of frequency dependent cholinergic neuromodulation at CA1 parvalbumin-containing basket cell (PV BC)-pyramidal cell synapses. Variance-mean analysis is employed to normalize the data, which is then used to estimate parameters in the mathematical model. Various parameterizations and hidden parameter dependencies are investigated using Markov Chain Monte Carlo (MCMC) parameter estimation techniques. This analysis reveals that frequency dependence of cholinergic modulation requires both calcium-dependent recovery from depression and mAChR-induced inhibition of presynaptic calcium entry. A reduction in calcium entry into the presynaptic terminal in the kinetic model accounted for the frequency-dependent effects of mAChR activation. (C) 2014 Elsevier Inc. All rights reserved.
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