Energy-efficient neuromorphic classifiers
作者： Daniel Martí , Mattia Rigotti , Mingoo Seok , Stefano Fusi
DOI: 10.1162/NECO_A_00882
关键词:
摘要: Neuromorphic engineering combines the architectural and computational principles of systems neuroscience with semiconductor electronics, with the aim of building efficient and …
mitpressjournals.org
harvard.edu
arxiv.org 参考文章(65)
Stefano Fusi, Hebbian spike-driven synaptic plasticity for learning patterns of mean firing rates Biological Cybernetics. ,vol. 87, pp. 459- 470 ,(2002) , 10.1007/S00422-002-0356-8
O. Barak, M. Rigotti, S. Fusi, The sparseness of mixed selectivity neurons controls the generalization-discrimination trade-off. The Journal of Neuroscience. ,vol. 33, pp. 3844- 3856 ,(2013) , 10.1523/JNEUROSCI.2753-12.2013
John V. Arthur, Kwabena A. Boahen, Silicon-Neuron Design: A Dynamical Systems Approach IEEE Transactions on Circuits and Systems. ,vol. 58, pp. 1034- 1043 ,(2011) , 10.1109/TCSI.2010.2089556
Daniel J. Amit, Stefano Fusi, Learning in neural networks with material synapses Neural Computation. ,vol. 6, pp. 957- 982 ,(1994) , 10.1162/NECO.1994.6.5.957
Eustace Painkras, Luis A. Plana, Jim Garside, Steve Temple, Francesco Galluppi, Cameron Patterson, David R. Lester, Andrew D. Brown, Steve B. Furber, SpiNNaker: A 1-W 18-Core System-on-Chip for Massively-Parallel Neural Network Simulation IEEE Journal of Solid-state Circuits. ,vol. 48, pp. 1943- 1953 ,(2013) , 10.1109/JSSC.2013.2259038
Srinjoy Mitra, Stefano Fusi, Giacomo Indiveri, Real-Time Classification of Complex Patterns Using Spike-Based Learning in Neuromorphic VLSI IEEE Transactions on Biomedical Circuits and Systems. ,vol. 3, pp. 32- 42 ,(2009) , 10.1109/TBCAS.2008.2005781
Rafal Karakiewicz, Roman Genov, Gert Cauwenberghs, 480-GMACS/mW Resonant Adiabatic Mixed-Signal Processor Array for Charge-Based Pattern Recognition IEEE Journal of Solid-state Circuits. ,vol. 42, pp. 2573- 2584 ,(2007) , 10.1109/JSSC.2007.907224
Stefano Fusi, Maurizio Mattia, Collective behavior of networks with linear (VLSI) integrate-and-fire neurons Neural Computation. ,vol. 11, pp. 633- 652 ,(1999) , 10.1162/089976699300016601
Kwabena Boahen, John V. Arthur, Learning in Silicon: Timing is Everything neural information processing systems. ,vol. 18, pp. 75- 82 ,(2005)
Guang-Bin Huang, Qin-Yu Zhu, Chee-Kheong Siew, Extreme learning machine: Theory and applications Neurocomputing. ,vol. 70, pp. 489- 501 ,(2006) , 10.1016/J.NEUCOM.2005.12.126