Article-Journal

Local image phase, energy and orientation extraction using FPGAs
Local features such as phase, energy and orientation have been widely used in the literature for multiple computer vision applications …
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A real-time spiking cerebellum model for learning robot control
We describe a neural network model of the cerebellum based on integrate-and-fire spiking neurons with conductance-based synapses. The …
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Event-driven simulation of cerebellar granule cells
Around half of the neurons of a human brain are granule cells (approximately 1011granule neurons) [Kandel, E.R., Schwartz, J.H., …
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Real-Time System for High-Image Resolution Disparity Estimation
We present the hardware implementation of a simple, fast technique for depth estimation based on phase measurement. This technique …
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Hardware Event-driven Simulation Engine for Spiking Neural Networks
The efficient simulation of spiking neural networks (SNN) remains an open challenge. Current SNN computing engines are still far away …
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Event-Driven Simulation Scheme for Spiking Neural Networks Using Lookup Tables to Characterize Neuronal Dynamics
Nearly all neuronal information processing and interneuronal communication in the brain involves action potentials, or spikes, which …
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Real-time computing platform for spiking neurons (RT-Spike)
A computing platform is described for simulating arbitrary networks of spiking neurons in real time. A hybrid computing scheme is …
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Event-driven simulation of neural population synchronization facilitated by electrical coupling
Most neural communication and processing tasks are driven by spikes. This has enabled the application of the event-driven simulation …
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