DOI: 10.1109/iscas.2017.8050527. Fast classification using sparsely active spiking networks

Fast classification using sparsely active spiking networks

10.1109/iscas.2017.8050527

Crossref proceedings-article

IEEE

2017 IEEE International Symposium on Circuits and Systems (ISCAS) (263)

Bibliography

Mostafa, H., Pedroni, B. U., Sheik, S., & Cauwenberghs, G. (2017). Fast classification using sparsely active spiking networks. 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1â4.

Authors 4

Hesham Mostafa (first)
Bruno U. Pedroni (additional)
Sadique Sheik (additional)
Gert Cauwenberghs (additional)

References 18 Referenced 32

{'journal-title': 'Supervised learning based on temporal coding in spiking neural networks', 'year': '2016', 'author': 'mostafa', 'key': 'ref10'} / Supervised learning based on temporal coding in spiking neural networks by mostafa (2016)
{'key': 'ref11', 'first-page': '807', 'article-title': 'Rectified linear units improve restricted boltzmann machines', 'author': 'nair', 'year': '2010', 'journal-title': 'Proceedings of the 27th International Conference on Machine Learning (ICML-10)'} / Proceedings of the 27th International Conference on Machine Learning (ICML-10) / Rectified linear units improve restricted boltzmann machines by nair (2010)
10.1109/ISSCC.2016.7418007
10.7551/mitpress/5704.001.0001 / Pulsed Neural Networks by maass (1998)
{'key': 'ref14', 'first-page': '1929', 'article-title': 'Dropout: A simple way to prevent neural networks from overfitting', 'volume': '15', 'author': 'srivastava', 'year': '2014', 'journal-title': 'The Journal of Machine Learning Research'} / The Journal of Machine Learning Research / Dropout: A simple way to prevent neural networks from overfitting by srivastava (2014)
10.3389/fnins.2016.00508
10.1016/S0893-6080(01)00083-1
10.1016/j.conb.2004.07.007
{'key': 'ref18', 'first-page': '1064', 'article-title': 'Sparse coding in the primate cortex', 'volume': '1', 'author': 'foldiak', 'year': '1995', 'journal-title': 'The Handbook of Brain Theory and Neural Networks'} / The Handbook of Brain Theory and Neural Networks / Sparse coding in the primate cortex by foldiak (1995)
10.1126/science.1254642 / Science / A million spiking-neuron integrated circuit with a scalable communication network and interface by merolla (2014)
10.1109/BioCAS.2014.6981816
10.1109/IJCNN.2015.7280696
10.3389/fnins.2013.00178
10.1073/pnas.1604850113 / Proceedings of the National Academy of Sciences / Con-volutional networks for fast, energy-efficient neuromorphic computing by esser (2016)
10.1007/s11263-014-0788-3
10.3389/fnins.2015.00141 / Frontiers in Neuroscience / A re-configurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128k synapses by qiao (2015)
10.1038/nature14539
10.1016/S0925-2312(01)00658-0

Dates

Type	When
Created	7 years, 10 months ago (Sept. 28, 2017, 4:33 p.m.)
Deposited	5 years, 10 months ago (Oct. 3, 2019, 10:12 p.m.)
Indexed	5 days, 20 hours ago (Aug. 22, 2025, 12:57 a.m.)
Issued	8 years, 3 months ago (May 1, 2017)
Published	8 years, 3 months ago (May 1, 2017)
Published Print	8 years, 3 months ago (May 1, 2017)

Funders 0

None

BibTeX

@inproceedings{Mostafa_2017, title={Fast classification using sparsely active spiking networks}, url={http://dx.doi.org/10.1109/iscas.2017.8050527}, DOI={10.1109/iscas.2017.8050527}, booktitle={2017 IEEE International Symposium on Circuits and Systems (ISCAS)}, publisher={IEEE}, author={Mostafa, Hesham and Pedroni, Bruno U. and Sheik, Sadique and Cauwenberghs, Gert}, year={2017}, month=may, pages={1–4} }

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