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• W3203106734 abstract "The unconventional nature of molecular communication necessitates contributions from a host of scientific fields making the simulator design for such systems to be quite challenging. The nervous system is one of the largest and most important nanonetworks of the body. Several molecular and nano communication simulators exist in literature along with a few neural network simulators, however, most existing simulators are not specific for the nervous system since they ignore the synaptic diffusion because of the computational complexity required to model it. Additionally, information and communication theoretical (ICT) analysis of the system is not directly supported by existing neural network simulators. In this work, we present and describe Neural NaNoNetwork Simulator, <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink> <tex-math notation=LaTeX>${N}^{{4}}textit {Sim}$ </tex-math></inline-formula> , which can resolve these issues in existing simulators. We describe key components of the simulator and methods to solve the synaptic communication in a fast and efficient manner. Our model for the synaptic communication channel is comparable in accuracy to those achieved by Monte Carlo simulations while using a fraction of time and processing resources. The presented simulator opens a large set of design options for applications in nervous system." @default.
• W3203106734 created "2021-10-11" @default.
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• W3203106734 date "2022-10-01" @default.
• W3203106734 modified "2023-09-25" @default.
• W3203106734 title "N⁴ Sim: The First Nervous NaNoNetwork Simulator With Synaptic Molecular Communications" @default.
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• W3203106734 doi "https://doi.org/10.1109/tnb.2021.3118851" @default.
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