[2016] Esser. S, Merolla. P, Arthur. JV, et al. “
Convolutional networks for fast, energy-efficient neuromorphic computing”,
Proceedings of the National Academy of Sciences, 2016.
[2015] Esser. S, Appuswamy. R, Merolla. P, Arthur. JV, Modha. D, “
Backpropagation for Energy-Efficient Neuromorphic Computing”,
Advances in Neural Information Processing Systems, 1117-1125, 2015.
Featured in a spotlight presentation.
[2014] Merolla. P, Arthur. JV, Alvarez-Icaza. R, Cassidy. A, Sawada. J, Akopyan. F, Jackson. B, et al., “
A million spiking-neuron integrated circuit with a scalable communication network and interface”,
Science, 668-73, August 8th, 2014.
Cover with Feature Story.
[2014] Benjamin. BV, Gao. P, McQuinn. E, Choudhary. S, Chandrasekaran. A, Bussat. JM, Alvarez. R, Arthur. JV, Merolla. P, and Boahen. K, “
Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations”,
Proceedings of the IEEE, vol 102, no 5, pp 699-716, March 2014.
[2014] Merolla. P, Arthur. J, Alvarez. R, Bussat. JM, and Boahen. K, “
A Multicast Tree Router For Multichip Neuromorphic Systems”,
IEEE Transactions on Circuits and Systems, vol 61, no 3, pp 820-833, March 2014.
[2012] Imam. N, Cleland. T, Manohar. R, Merolla. P, Arthur. J, Akopyan. F, Modha. D, “
Implementation of Olfactory Bulb Glomerular-Layer Computations in a Digital Neurosynaptic Core”,
Frontiers in Neuromorphic Engineering, 2012.
[2007] Merolla. P, Arthur. J, Shi. B, Boahen. K, “
Expandable Networks for Neuromorphic Chips”,
IEEE Transactions on Circuits and Systems I, vol 54, no 2. pp. 301-311, February 2007.
[2005] Choi. T, Merolla. P, Arthur. J, Boahen. K, Shi. B, “
Neuromorphic Implementation of Orientation Hypercolumns”,
IEEE Transactions on Circuits and Systems I, vol 52, no 6, pp 1049-1060, June 2005.
[2015] Das. S, Pedroni. B, Merolla. P, Arthur. JV, Cassidy. A, Jackson. B, Modha. D, Cauwenberghs. G, Kreutz-Delgado. K, “
Gibbs sampling with low-power spiking digital neurons”,
Circuits and Systems (ISCAS), 2015.
[2013] Cassidy. A, Merolla. P, et al., “
Cognitive Computing Building Block: A Versatile and Efficient Digital Neuron Model for Neurosynaptic Cores”,
International Joint Conference on Neural Networks (IJCNN), 2013.
[2013] Esser. S, Andreopoulos. A, Appuswamy. R, Datta. P, Barch. D, Amir. A, Arthur. J, Cassidy. A, Flickner. M, Merolla. P, et al., “
Cognitive Computing Systems: Algorithms and Applications for Networks of Neurosynaptic Cores”,
International Joint Conference on Neural Networks (IJCNN), 2013.
[2012] Benjamin. B, Arthur. J, Gao. P, Merolla. P, Boahen. K, “
A Superposable Silicon Synapse with Programmable Reversal Potential”,
International Conference of the IEEE Engineering and Medicine in Biology Society, 2012.
[2012] Arthur. J, Merolla. P, Akopyan. F, et al., “
Building Block of a Programmable Neuromorphic Substrate: A Digital Neurosynaptic Core”,
International Joint Conference on Neural Networks (IJCNN), June 2012.
[2012] Imam. N, Akopyan. F, Merolla. P, Arthur. J, Manohar. R, and Modha. D, “
A Digital Neurosynaptic Core Using Event-Driven QDI Circuits”,
Async, 2012.
Best Paper Award.
[2011] Merolla. P, Arthur. J, Akopyan. F, Imam. N, Manohar. R, and Modha. D, “
A Digital Neurosynaptic Core using Embedded Crossbar Memory with 45pJ per spike in 45nm”,
IEEE Custom Integrated Circuits Conference, September 2011.
[2006] Lin. J, Merolla. P, Arthur. J, Boahen. K, “
Programmable Connections in Neuromorphic Grids”,
49th IEEE Midwest Symposium on Circuits and Systems, 2006.
[2006] Merolla. P, and Boahen. K, “
Dynamic Computation in a Recurrent Network of Heterogeneous Silicon Neurons”,
IEEE International Symposium on Circuits and Systems (ISCAS), 2006.
[2004] Merolla. P, and Boahen. K, “
A Recurrent Model of Orientation Maps with Simple and Complex Cells”,
Advances in Neural Information Processing Systems 16 (NIPS), 2004.
[2016] Merolla. P, Appuswamy. R, et al. “
Deep neural networks are robust to weight binarization and other non-linear distortions”,
arXiv, June 2016.
[2010] Merolla. P, Ursell. T, and Arthur. JV, “
The Thermodynamic Temperature of a Rhythmic Spiking Network”,
arXiv, September 2010.
[2006] Merolla. P “
A Silicon Model of the Primary Visual Cortex: Representing Features Through Stochastic Variations”,
Doctoral Dissertation, University of Pennsylvania, 2006.