کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9425609 | 1295882 | 2005 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Long-range temporal correlations in the spontaneous spiking of neurons in the hippocampal-amygdala complex of humans
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
MSESampEnIHPDFASample entropy - آنتروپی نمونهMultiscale entropy - آنتروپی چند عاملیISI - آی اس آیMRI - امآرآی یا تصویرسازی تشدید مغناطیسیSelf-organized criticality - انتقاد خودمحورDetrended fluctuation analysis - تجزیه و تحلیل نوسانات محاسبه شدهSpontaneous discharge - تخلیه خود به خودیMagnetic resonance imaging - تصویربرداری رزونانس مغناطیسیSingle-unit - تک واحدHomogeneous Poisson process - روند پواسون همگنSOC - سیستم روی یک تراشهInhomogeneous Poisson process - فرآیند پواسون غیرموجبLong-range correlation - همبستگی بلندمدتHippocampus - هیپوکامپ Scaling - پیمایش یا مقیاس گذاری
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
علوم اعصاب (عمومی)
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
The spontaneous or background discharge patterns of in vivo single neuron is mostly considered as neuronal noise, which is assumed to be devoid of any correlation between successive inter-spike-intervals (ISI). Such random fluctuations are modeled only statistically by stochastic point process, lacking any temporal correlation. In this study, we have investigated the nature of spontaneous irregular fluctuations of single neurons from human hippocampus-amygdala complex by three different methods: (i) detrended fluctuation analysis (DFA), (ii) multiscale entropy (MSE), (iii) rate estimate convergence. Both the DFA and MSE analysis showed the presence of long-range power-law correlation over time in the ISI sequences. Moreover, we observed that the individual spike trains presented non-random structure on longer time-scales and showed slow convergence of rate estimates with increasing counting time. This power-law correlation and the slow convergence of statistical moments were eliminated by randomly shuffling the ISIs even though the distributions of ISIs were preserved. Thus the power-law relationship arose from long-term correlations among ISIs that were destroyed by shuffling the data. Further, we found that neurons which showed long-range correlations also showed statistically significant correlated firing as measured by correlation coefficient or mutual information function. The presence of long-range correlations indicates the history-effect or memory in the firing pattern by the associative formation of a neuronal assembly.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neuroscience - Volume 131, Issue 2, 2005, Pages 547-555
Journal: Neuroscience - Volume 131, Issue 2, 2005, Pages 547-555
نویسندگان
J. Bhattacharya, J. Edwards, A.N. Mamelak, E.M. Schuman,