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黑质多巴胺能神经元峰峰间期放电模式的非线性序列依赖性结构

Nonlinear sequence-dependent structure of nigral dopamine neuron interspike interval firing patterns.

作者信息

Hoffman R E, Shi W X, Bunney B S

机构信息

Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.

出版信息

Biophys J. 1995 Jul;69(1):128-37. doi: 10.1016/S0006-3495(95)79882-4.

Abstract

Firing patterns of 15 dopamine neurons in the rat substantia nigra were studied. These cells alternated between two firing modes, single-spike and bursting, which interwove to produce irregular, aperiodic interspike interval (ISI) patterns. When examined by linear autocorrelation analysis, these patterns appeared to reflect a primarily stochastic or random process. However, dynamical analysis revealed that the sequential behavior of a majority of these cells expressed "higher-dimensional" nonlinear deterministic structure. Dimensionality refers to the number of degrees of freedom or complexity of a time series. Bursting was statistically associated with some aspects of nonlinear ISI sequence dependence. Controlling for the effects of nonstationarity substantially increased overall predictability of ISI sequences. We hypothesize that the nonlinear deterministic structure of ISI firing patterns reflects the neuron's response to coordinated synaptic inputs emerging from neural circuit interactions.

摘要

研究了大鼠黑质中15个多巴胺能神经元的放电模式。这些细胞在两种放电模式之间交替,即单峰放电和爆发式放电,这两种模式交织在一起,产生不规则的、非周期性的峰峰间隔(ISI)模式。通过线性自相关分析检查时,这些模式似乎反映了一个主要的随机过程。然而,动力学分析表明,这些细胞中的大多数的序列行为表现出“高维”非线性确定性结构。维度指的是时间序列的自由度或复杂程度。爆发式放电在统计学上与非线性ISI序列依赖性的某些方面相关。控制非平稳性的影响可显著提高ISI序列的整体可预测性。我们假设ISI放电模式的非线性确定性结构反映了神经元对神经回路相互作用产生的协调性突触输入的反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f824/1236231/48a3aa06e07e/biophysj00059-0131-a.jpg

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