NEST is a simulator for spiking neural network models that focuses on the dynamics, size and structure of neural systems rather than on the exact morphology of ...
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What is NEST simulator?
NEST is a simulation software for spiking neural network models, including large-scale neuronal networks. NEST was initially developed by Markus Diesmann and Marc-Oliver Gewaltig and is now developed and maintained by the NEST Initiative. NEST (Neural Simulation Tool)
Com- bining NEST with the simulator NEURON and the toolbox LFPy, it develops multi- scale models predicting LFP and MUA signals from network simulations. ÉCOLE ...
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Elemental spiking neuron model for reproducing diverse firing patterns and predicting precise firing times. Frontiers in Computational Neuroscience, 5:42. DOI: ...
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NEST is used in computational neuroscience to model and study behavior of large networks of neurons. The models describe single neuron and synapse behavior ...
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The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and ...
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Nov 11, 2021 · Abstract. Simulation software for spiking neuronal network models matured in the past decades regarding performance and flexibility.
Jan 18, 2018 · We demonstrate the feasibility of this approach by implementing the technology in the NEST simulation code and we investigate its performance in ...
Jul 13, 2022 · SNNbuilder (https://snnbuilder.riken.jp) is a web-based collaborative tool for data-driven modeling by spiking neural networks (SNN). It allows ...
NEST is a simulator for networks of point neurons, that is, neuron mod- els that collapse the morphology (geometry) of dendrites, axons, and so-.
