AIMC Topic: Computers, Hybrid

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Complex Rotation Quantum Dynamic Neural Networks (CRQDNN) using Complex Quantum Neuron (CQN): Applications to time series prediction.

Neural networks : the official journal of the International Neural Network Society Jul 31, 2015
Quantum Neural Networks (QNN) models have attracted great attention since it innovates a new neural computing manner based on quantum entanglement. However, the existing QNN models are mainly based on the real quantum operations, and the potential of...
Neural Networks, Computer Machine Learning Algorithms Forecasting Computer Simulation Prognosis Rotation Neurons Quantum Theory Computers, Hybrid
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A Spiking Neural Simulator Integrating Event-Driven and Time-Driven Computation Schemes Using Parallel CPU-GPU Co-Processing: A Case Study.

IEEE transactions on neural networks and learning systems Aug 26, 2014
Time-driven simulation methods in traditional CPU architectures perform well and precisely when simulating small-scale spiking neural networks. Nevertheless, they still have drawbacks when simulating large-scale systems. Conversely, event-driven simu...
Neural Networks, Computer Algorithms Computer Simulation Reproducibility of Results Benchmarking Cerebellum Nerve Fibers Computer Graphics Computers, Hybrid Microcomputers Purkinje Cells
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