نتایج جستجو برای: neuronal networks

تعداد نتایج: 539739  

Journal: :Computational Intelligence and Neuroscience 2016

Journal: :Cellular and Molecular Life Sciences 2011

Journal: :Frontiers in Computational Neuroscience 2019

Journal: :مجله علوم اعصاب شفای خاتم 0
petra hundehege university hospital münster, neurology clinic and institute of translational neurology, icb mendelstraße 7, 48149 münster, germany

multiple sclerosis (ms) is a chronic inflammatory disease of the central nervous system characterized by widespread inflammation, focal demyelination and a variable degree of axonal and neuronal loss. ionic conductances regulate t cell activation as well as neuronal function and thus have been found to play a crucial role in ms pathogenesis. since present therapeutical approaches are only parti...

2017
Maria Toivanen Anssi Pelkonen Meeri Mäkinen Laura Ylä-Outinen Lassi Sukki Pasi Kallio Mervi Ristola Susanna Narkilahti

Measurement of the activity of human pluripotent stem cell (hPSC)-derived neuronal networks with microelectrode arrays (MEAs) plays an important role in functional in vitro brain modelling and in neurotoxicological screening. The previously reported hPSC-derived neuronal networks do not, however, exhibit repeatable, stable functional network characteristics similar to rodent cortical cultures, ...

Journal: :Proceedings of the National Academy of Sciences of the United States of America 2008
Shalev Itzkovitz Leehod Baruch Ehud Shapiro Eran Segal

The nervous system contains trillions of neurons, each forming thousands of synaptic connections. It has been suggested that this complex connectivity is determined by a synaptic "adhesive code," where connections are dictated by a variable set of cell surface proteins, combinations of which form neuronal addresses. The estimated number of neuronal addresses is orders of magnitude smaller than ...

Journal: :Mathematics 2023

Neuronal models have remained an important area of research in computer science. The dendritic neuron model (DNM) is a novel neuronal recent years. Previous studies focused on training DNM using more appropriate algorithms. This paper proposes improvement to based the activity excitation and three new models. Each improved are designed mimic inhibition neurons. proposed this shown be effective ...

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