PhysioDesigner for Multilevel Neural System Modeling
نویسندگان
چکیده
منابع مشابه
Modeling environmental indicators for land leveling, using Artificial Neural Networks and Adaptive Neuron-Fuzzy Inference System
Land leveling is one of the most important steps in soil preparation and cultivation. Although land leveling with machines requires considerable amount of energy, it delivers a suitable surface slope with minimal soil deterioration as well as damage to plants and other organisms in the soil. Notwithstanding, in recent years researchers have tried to reduce fossil fuel consumption and its delete...
متن کاملMultilevel Environments in Insertion Modeling System
The goal of this paper is to show that the Insertion Modeling System[1] developed by A.A. Letichevsky of the department 100/105 of the Glushkov Institute of Cybernetics, National Academy of Science of Ukraine, Kyiv, Ukraine, can be used as an instrument for the modeling and analysis of complex distributed systems, such as a client-server architectures. The Insertion Modeling [1] is based on the...
متن کاملModeling environmental indicators for land leveling, using Artificial Neural Networks and Adaptive Neuron-Fuzzy Inference System
Land leveling is one of the most important steps in soil preparation and cultivation. Although land leveling with machines requires considerable amount of energy, it delivers a suitable surface slope with minimal soil deterioration as well as damage to plants and other organisms in the soil. Notwithstanding, in recent years researchers have tried to reduce fossil fuel consumption and its delete...
متن کاملThe Emergent neural modeling system
Emergent (http://grey.colorado.edu/emergent) is a powerful tool for the simulation of biologically plausible, complex neural systems that was released in August 2007. Inheriting decades of research and experience in network algorithms and modeling principles from its predecessors, PDP++ and PDP, Emergent has been redesigned as an efficient workspace for academic research and an engaging, easy-t...
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ژورنال
عنوان ژورنال: Frontiers in Neuroinformatics
سال: 2013
ISSN: 1662-5196
DOI: 10.3389/conf.fninf.2013.09.00015