Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
暂无分享,去创建一个
Hong Wang | Narayan Srinivasa | Deepak Mathaikutty | Yuyun Liao | Andrew Lines | Prasad Joshi | Ruokun Liu | Jonathan Tse | Yi-Hsin Weng | Mike Davies | Tsung-Han Lin | Yongqiang Cao | Chit-Kwan Lin | Andreas Wild | Gautham N. Chinya | Georgios D. Dimou | Nabil Imam | Yoonseok Yang | Arnab Paul | Sri Harsha Choday | Shweta Jain | Steven McCoy | Guruguhanathan Venkataramanan | S. H. Choday | Yongqiang Cao | Hong Wang | G. Chinya | N. Imam | N. Srinivasa | Andrew Lines | D. Mathaikutty | Chit-Kwan Lin | Tsung-Han Lin | Mike E. Davies | G. Dimou | Shweta Jain | Jonathan Tse | Prasad Joshi | Yuyun Liao | Ruokun Liu | Steve McCoy | Arnab Paul | Guruguhanathan Venkataramanan | Y. Weng | Andreas Wild | Yoonseok Yang | Mike Davies
[1] Eugene M. Izhikevich,et al. Polychronization: Computation with Spikes , 2006, Neural Computation.
[2] Marc Teboulle,et al. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems , 2009, SIAM J. Imaging Sci..
[3] Andrzej J. Kasinski,et al. Supervised Learning in Spiking Neural Networks with ReSuMe: Sequence Learning, Classification, and Spike Shifting , 2010, Neural Computation.
[4] Wolfgang Maass,et al. Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons , 2011, PLoS Comput. Biol..
[5] Giacomo Indiveri,et al. A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses , 2015, Front. Neurosci..
[6] Christopher J. Rozell,et al. Optimal Sparse Approximation with Integrate and Fire Neurons , 2014, Int. J. Neural Syst..
[7] Ping Tak Peter Tang,et al. Sparse Coding by Spiking Neural Networks: Convergence Theory and Computational Results , 2017, ArXiv.
[8] John J. Hopfield,et al. Rapid, parallel path planning by propagating wavefronts of spiking neural activity , 2012, Front. Comput. Neurosci..
[9] Andrew S. Cassidy,et al. A million spiking-neuron integrated circuit with a scalable communication network and interface , 2014, Science.
[10] Yong Liu,et al. A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons , 2011, 2011 IEEE Custom Integrated Circuits Conference (CICC).
[11] J. Pfister,et al. A triplet spike-timing–dependent plasticity model generalizes the Bienenstock–Cooper–Munro rule to higher-order spatiotemporal correlations , 2011, Proceedings of the National Academy of Sciences.
[12] Tsung-Han Lin. Local Information with Feedback Perturbation Suffices for Dictionary Learning in Neural Circuits , 2017, ArXiv.