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NSL — Neural Simulation Language
1995NSL, Neural Simulation Language, is a general purpose simulation system providing a high-level language with many constructs and libraries developed to ease the specification of large neural networks. NSL integrates object-oriented programming methodologies in its design and implementation, providing a simulation environment for users with little ...
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Neural Network Simulation Environments
1994Introduction: Specifying Neural Network Modeling Environment J. Skrzypek. 1. A Simulation Environment for Computational Neursocience E. Mesrobian, J. Skrzypek, A. Lee, B. Ringer. 2. NEXUS: a Neural Simulator for Integrating Top-Down and Bottom-Up Modeling P. Sajda, K. Sakai, Shih-Cheng Yen, L.H. Finkel. 3.
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Learning from large-scale neural simulations
2017Large-scale neural simulations have the marks of a distinct methodology which can be fruitfully deployed in neuroscience. I distinguish between two types of applications of the simulation methodology in neuroscientific research. Model-oriented applications aim to use the simulation outputs to derive new hypotheses about brain organization and ...
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Simulating Speech Coders Using Neural Networks
SIMULATION, 1998Speech coding algorithms are developed and optimised to satisfy many applications' specific requirements. By using these requirements to analyse different types of speech coders operat ing at various bit rates, the most efficient speech coding scheme for a particular applica tion can be selected.
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Microscopic Simulations of Electrochemical Double-Layer Capacitors
Chemical Reviews, 2022Guillaume Jeanmairet +2 more
exaly
Neural Network Quantum Simulation.
Proposed for presentation at the SNL/UNM Academic Alliance Virtual Poster Session held September 2-2, 2021 in Albuquerque, NM US, 2021Conor Smith +3 more
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