Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks-Reference-Cited by-同舟云学术

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Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks

Published:2017-02-07 Issue: Volume:11 Page:
ISSN:1662-5196
Container-title:Frontiers in Neuroinformatics
language:
Short-container-title:Front. Neuroinform.

Author:

Naveros Francisco,Garrido Jesus A.,Carrillo Richard R.,Ros Eduardo,Luque Niceto R.

Funder

Nvidia

Publisher

Frontiers Media SA

Subject

Computer Science Applications,Biomedical Engineering,Neuroscience (miscellaneous)

Reference48 articles.

1. Hardware event-driven simulation engine for spiking neural networks;Agis;Int. J. Electron.,2007

2. Spiking neural network with distributed plasticity reproduces cerebellar learning in eye blink conditioning paradigms;Antonietti;IEEE Trans. Biomed. Eng.,2016

3. Encoding/decoding of first and second order tactile afferents in a neurorobotic application. J. Physiol;Bologna;Paris,2011

4. Adaptive exponential integrate-and-fire model as an effective description of neuronal activity;Brette;J. Neurophysiol.,2005

5. Simulation of networks of spiking neurons: a review of tools and strategies;Brette;J. Comput. Neurosci.,2007

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