Robustness of spiking Deep Belief Networks to noise and reduced bit precision of neuro-inspired hardware platforms.

作者: Evangelos Stromatias , Daniel Neil , Michael Pfeiffer , Francesco Galluppi , Steve B. Furber

DOI: 10.3389/FNINS.2015.00222

关键词:

摘要: Increasingly large deep learning architectures, such as Deep Belief Networks (DBNs) are the focus of current machine learning research and achieve state-of-the-art results in …

参考文章(56)
Evangelos Stromatias, Daniel Neil, Francesco Galluppi, Michael Pfeiffer, Shih-Chii Liu, Steve Furber, Live demonstration: Handwritten digit recognition using spiking deep belief networks on SpiNNaker international symposium on circuits and systems. pp. 1901- 1901 ,(2015) , 10.1109/ISCAS.2015.7169034
Yingxue Wang, Shih-Chii Liu, Programmable synaptic weights for an aVLSI network of spiking neurons international symposium on circuits and systems. pp. 4- ,(2006) , 10.1109/ISCAS.2006.1693637
Srinjoy Das, Bruno Umbria Pedroni, Paul Merolla, John Arthur, Andrew S. Cassidy, Bryan L. Jackson, Dharmendra Modha, Gert Cauwenberghs, Ken Kreutz-Delgado, Gibbs sampling with low-power spiking digital neurons international symposium on circuits and systems. pp. 2704- 2707 ,(2015) , 10.1109/ISCAS.2015.7169244
Evangelos Stromatias, Daniel Neil, Francesco Galluppi, Michael Pfeiffer, Shih-Chii Liu, Steve Furber, Scalable energy-efficient, low-latency implementations of trained spiking Deep Belief Networks on SpiNNaker international joint conference on neural network. pp. 1- 8 ,(2015) , 10.1109/IJCNN.2015.7280625
Johannes Bill, Robert Legenstein, A compound memristive synapse model for statistical learning through STDP in spiking neural networks. Frontiers in Neuroscience. ,vol. 8, pp. 412- 412 ,(2014) , 10.3389/FNINS.2014.00412
Arindam Basu, Sun Shuo, Hongming Zhou, Meng Hiot Lim, Guang-Bin Huang, Silicon spiking neurons for hardware implementation of extreme learning machines Neurocomputing. ,vol. 102, pp. 125- 134 ,(2013) , 10.1016/J.NEUCOM.2012.01.042
S. Brink, S. Nease, P. Hasler, S. Ramakrishnan, R. Wunderlich, A. Basu, B. Degnan, A Learning-Enabled Neuron Array IC Based Upon Transistor Channel Models of Biological Phenomena IEEE Transactions on Biomedical Circuits and Systems. ,vol. 7, pp. 71- 81 ,(2013) , 10.1109/TBCAS.2012.2197858
Aleksandra Pavasović, Andreas G. Andreou, Charles R. Westgate, Characterization of subthreshold MOS mismatch in transistors for VLSI systems signal processing systems. ,vol. 6, pp. 75- 85 ,(1994) , 10.1007/BF01250737
Emre Neftci, Srinjoy Das, Bruno Pedroni, Kenneth Kreutz-Delgado, Gert Cauwenberghs, Event-driven contrastive divergence for spiking neuromorphic systems Frontiers in Neuroscience. ,vol. 7, pp. 272- 272 ,(2014) , 10.3389/FNINS.2013.00272
Matthias Oster, Yingxue Wang, Rodney Douglas, Shih-Chii Liu, Quantification of a Spike-Based Winner-Take-All VLSI Network IEEE Transactions on Circuits and Systems I-regular Papers. ,vol. 55, pp. 3160- 3169 ,(2008) , 10.1109/TCSI.2008.923430