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Modeling Spike-Train Processing in the Cerebellum Granular Layer and Changes in Plasticity Reveal Single Neuron Effects in Neural Ensembles
المؤلفون المشاركون
Diwakar, Shyam
D'Angelo, Egidio
Nair, Bipin
Medini, Chaitanya
Naldi, Giovanni
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-17، 17ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2012-09-25
دولة النشر
مصر
عدد الصفحات
17
التخصصات الرئيسية
الملخص EN
The cerebellum input stage has been known to perform combinatorial operations on input signals.
In this paper, two types of mathematical models were used to reproduce the role of feed-forward inhibition and computation in the granular layer microcircuitry to investigate spike train processing.
A simple spiking model and a biophysically-detailed model of the network were used to study signal recoding in the granular layer and to test observations like center-surround organization and time-window hypothesis in addition to effects of induced plasticity.
Simulations suggest that simple neuron models may be used to abstract timing phenomenon in large networks, however detailed models were needed to reconstruct population coding via evoked local field potentials (LFP) and for simulating changes in synaptic plasticity.
Our results also indicated that spatio-temporal code of the granular network is mainly controlled by the feed-forward inhibition from the Golgi cell synapses.
Spike amplitude and total number of spikes were modulated by LTP and LTD.
Reconstructing granular layer evoked-LFP suggests that granular layer propagates the nonlinearities of individual neurons.
Simulations indicate that granular layer network operates a robust population code for a wide range of intervals, controlled by the Golgi cell inhibition and is regulated by the post-synaptic excitability.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Medini, Chaitanya& Nair, Bipin& D'Angelo, Egidio& Naldi, Giovanni& Diwakar, Shyam. 2012. Modeling Spike-Train Processing in the Cerebellum Granular Layer and Changes in Plasticity Reveal Single Neuron Effects in Neural Ensembles. Computational Intelligence and Neuroscience،Vol. 2012, no. 2012, pp.1-17.
https://search.emarefa.net/detail/BIM-465732
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Medini, Chaitanya…[et al.]. Modeling Spike-Train Processing in the Cerebellum Granular Layer and Changes in Plasticity Reveal Single Neuron Effects in Neural Ensembles. Computational Intelligence and Neuroscience No. 2012 (2012), pp.1-17.
https://search.emarefa.net/detail/BIM-465732
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Medini, Chaitanya& Nair, Bipin& D'Angelo, Egidio& Naldi, Giovanni& Diwakar, Shyam. Modeling Spike-Train Processing in the Cerebellum Granular Layer and Changes in Plasticity Reveal Single Neuron Effects in Neural Ensembles. Computational Intelligence and Neuroscience. 2012. Vol. 2012, no. 2012, pp.1-17.
https://search.emarefa.net/detail/BIM-465732
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-465732
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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