نتایج جستجو برای: شبکه های عصبی احتمالی pnns
تعداد نتایج: 491543 فیلتر نتایج به سال:
The striatum is the primary input nucleus of the basal ganglia, a collection of nuclei that play important roles in motor control and associative learning. We have previously reported that perineuronal nets (PNNs), aggregations of chondroitin-sulfate proteoglycans (CSPGs), form in the matrix compartment of the mouse striatum during the second postnatal week. This period overlaps with important ...
Perineuronal nets (PNNs) are lattice-like extracellular matrix structures composed of chondroitin sulfate proteoglycans (CSPGs). The appearance of PNNs parallels the decline of neural plasticity, and disruption of PNNs reactivates neural plasticity in the adult brain. We previously reported that sulfation patterns of chondroitin sulfate (CS) chains on CSPGs influenced the formation of PNNs and ...
Perineuronal nets (PNNs) are distributed primarily around inhibitory interneurons in the hippocampus, such as parvalbumin-positive interneurons. PNNs are also present around excitatory neurons in some brain regions and prevent plasticity in these neurons. A recent study demonstrated that PNNs also exist around mouse hippocampal pyramidal cells, which are the principle type of excitatory neurons...
Epilepsy is a serious brain disorder with diverse seizure types and epileptic syndromes. AMPA receptor antagonist 2,3-dihydroxy-6-nitro-7-sulfamoyl-benzoquinoxaline-2,3-dione (NBQX) attenuates spontaneous recurrent seizures in rats. However, the anti-epileptic effect of NBQX in chronic epilepsy model is poorly understood. Perineuronal nets (PNNs), specialized extracellular matrix structures, su...
At the end of the 19 th century, Camillo Golgi discovered that neurons were enwrapped by a net, but it was only recently that neuroscientists started to intensely investigate the role of this mysterious reticular structure. Today, perineuronal nets (PNNs) are known to be lattice-like extracellular matrix aggregates surrounding synapses at the soma, proximal axons and dendrites of several types ...
مدل های گرافی احتمالی چارچوبی قدرتمند برای بازنمایی توزیع های احتمالاتی با تعداد متغیرهای زیاد را فراهم می کنند. یکی از مسائل چالش برانگیز در حوزه ی بازشناسی الگو، مسئله ی برچسب زنی دنباله ای از مشاهدات است. در این مسئله هدف آن است که با فراهم بودن مشاهدات مربوط به گام های زمانی/فضایی پشت سرهم، برچسب مربوط به کل دنباله یا برچسب مربوط به هر کدام از گام های زمانی/فضایی تخمین زده شود. از جمله کارب...
INTRODUCTION Few studies have focused on the association between diet quality scores and the Metabolic Syndrome (MetS), a multi-component condition predictive of cardiovascular diseases (CVD) and death. The present study aims at investigating, in a cross-sectional design, the association between adherence to the French dietary guidelines through an a priori score - the French Nutrition and Heal...
در این پروژه روش جدیدی برای شناسایی و طبقه بندی رخدادهای کیفیت توان یک سیستم قدرت با استفاده از موجک چندگانه معرفی می گردد. این روش پیشنهادی طی 2مرحله انجام می پذیرد. در ابتدا تبدیل موجک چندگانه از سیگنال ورودی به سیستم، گرفته می شود و سپس بردارهای خروجی این تبدیل توسط آنتروپی بهینه سازی می گردد و همچنین بطور موازی با آن مجموع اغتشاشات هارمونیکی سیگنال ورودی اندازه گیری خواهد شد تا در خروجی این...
Plastic Neural Networks (PNNs) are known for their ability to adapt to environmental changes. It is generally believed that PNNs cannot solve timing tasks which require a predefined delay before execution of an action. In this study we investigate the ability of PNNs to solve timing tasks. Our experiments evolve PNNs to perform successfully on a task requiring the delayed execution of an action...
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