<?xml version="1.0" encoding="UTF-8"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-10-23T16:06:53Z</responseDate><request verb="GetRecord" identifier="oai:gumushane-rdlopen.rawdatalibrary.net:gumushane/16790" metadataPrefix="oai_dc">https://gumushane-rdlopen.rawdatalibrary.net/oai/request</request><GetRecord><record><header><identifier>oai:gumushane-rdlopen.rawdatalibrary.net:gumushane/16790</identifier><datestamp>2026-10-22T10:33:00Z</datestamp><setSpec>openaire</setSpec><setSpec>com_gumushane_10000</setSpec><setSpec>col_gumushane_10001</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:title>Network Master: A Versatile and User-Friendly Educational Software for Simulation of Neural Networks</dc:title><dc:creator>Yildirim, Omer</dc:creator><dc:creator>Özcan, Zubeyir</dc:creator><dc:creator>Turhan, Hilal</dc:creator><dc:creator>Kayikçioglu, Temel</dc:creator><dc:contributor>IEEE</dc:contributor><dc:subject>NEURON software</dc:subject><dc:subject>nerve cell</dc:subject><dc:subject>neural networks</dc:subject><dc:subject>modelling</dc:subject><dc:subject>simulation</dc:subject><dc:description>In this study, an interface in which neural networks consisting of biological cells could be modeled and simulated using Neuron hoc programming. With this interface, the resulting action potentials and the behavior of the nerve network can be investigated in detail by making the desired stimuli to mathematical models of neural networks. The most important feature of the work is that the designed interface is completely user friendly. Another advantage of this software is that users can easily perform simulations of the neural network models without writing code.</dc:description><dc:publisher>IEEE</dc:publisher><dc:date>2018</dc:date><dc:type>Conference Object</dc:type><dc:identifier>https://rdlopen.rawdatalibrary.net/r/gumushane/16790</dc:identifier><dc:identifier>978-1-5386-6852-8</dc:identifier><dc:language>tr</dc:language><dc:relation>2018 MEDICAL TECHNOLOGIES NATIONAL CONGRESS (TIPTEKNO)</dc:relation><dc:rights>info:eu-repo/semantics/closedAccess</dc:rights><dc:type>info:eu-repo/semantics/conferenceObject</dc:type><dc:identifier>https://gumushane-rdlopen.rawdatalibrary.net/tr/items/gumushane/16790</dc:identifier></oai_dc:dc></metadata></record></GetRecord></OAI-PMH>