Rodrigo Alvarez-Icaza

According to our database, Rodrigo Alvarez-Icaza authored at least 15 papers between 2011 and 2018.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2018

Spiking Optical Flow for Event-Based Sensors Using IBM's TrueNorth Neurosynaptic System.

Germain Haessig, Andrew Cassidy, Rodrigo Alvarez-Icaza, Ryad Benosman, Garrick Orchard

IEEE Trans. Biomed. Circuits Syst., 2018

2016

Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications.

Jun Sawada, Filipp Akopyan, Andrew S. Cassidy, Brian Taba, Michael V. DeBole, Pallab Datta, Rodrigo Alvarez-Icaza, Arnon Amir, John V. Arthur, Alexander Andreopoulos, Rathinakumar Appuswamy, Heinz Baier, Davis Barch, David J. Berg, Carmelo di Nolfo, Steven K. Esser, Myron Flickner, Thomas A. Horvath, Bryan L. Jackson, Jeff Kusnitz, Scott Lekuch, Michael Mastro, Timothy Melano, Paul A. Merolla, Steven E. Millman, Tapan K. Nayak, Norm Pass, Hartmut E. Penner, William P. Risk, Kai Schleupen, Benjamin G. Shaw, Hayley Wu, Brian Giera, Adam T. Moody, T. Nathan Mundhenk, Brian Van Essen, Eric X. Wang, David P. Widemann, Qing Wu, William E. Murphy, Jamie K. Infantolino, James A. Ross, Dale R. Shires, Manuel M. Vindiola, Raju Namburu, Dharmendra S. Modha

Proceedings of the International Conference for High Performance Computing, 2016

Real-time sensory information processing using the TrueNorth Neurosynaptic System.

Andreas G. Andreou, Andrew A. Dykman, Kate D. Fischl, Guillaume Garreau, Daniel R. Mendat, Garrick Orchard, Andrew S. Cassidy, Paul Merolla, John V. Arthur, Rodrigo Alvarez-Icaza, Bryan L. Jackson, Dharmendra S. Modha

Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

A low-power neurosynaptic implementation of Local Binary Patterns for texture analysis.

Alexander Andreopoulos, Rodrigo Alvarez-Icaza, Andrew S. Cassidy, Myron D. Flickner

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip.

Filipp Akopyan, Jun Sawada, Andrew Cassidy, Rodrigo Alvarez-Icaza, John V. Arthur, Paul Merolla, Nabil Imam, Yutaka Y. Nakamura, Pallab Datta, Gi-Joon Nam, Brian Taba, Michael P. Beakes, Bernard Brezzo, Jente B. Kuang, Rajit Manohar, William P. Risk, Bryan L. Jackson, Dharmendra S. Modha

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2015

Visual saliency on networks of neurosynaptic cores.

Alexander Andreopoulos, Brian Taba, Andrew S. Cassidy, Rodrigo Alvarez-Icaza, Myron Flickner, William P. Risk, Arnon Amir, Paul Merolla, John V. Arthur, David J. Berg, Jeffrey A. Kusnitz, Pallab Datta, Steven K. Esser, Rathinakumar Appuswamy, Davis Barch, Dharmendra S. Modha

IBM J. Res. Dev., 2015

2014

A Multicast Tree Router for Multichip Neuromorphic Systems.

Paul Merolla, John V. Arthur, Rodrigo Alvarez-Icaza, Jean-Marie Bussat, Kwabena Boahen

IEEE Trans. Circuits Syst. I Regul. Pap., 2014

Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations.

Ben Varkey Benjamin, Peiran Gao, Emmett McQuinn, Swadesh Choudhary, Anand Chandrasekaran, Jean-Marie Bussat, Rodrigo Alvarez-Icaza, John V. Arthur, Paul Merolla, Kwabena Boahen

Proc. IEEE, 2014

Real-Time Scalable Cortical Computing at 46 Giga-Synaptic OPS/Watt with ~100× Speedup in Time-to-Solution and ~100, 000× Reduction in Energy-to-Solution.

Andrew S. Cassidy, Rodrigo Alvarez-Icaza, Filipp Akopyan, Jun Sawada, John V. Arthur, Paul Merolla, Pallab Datta, Marc González Tallada, Brian Taba, Alexander Andreopoulos, Arnon Amir, Steven K. Esser, Jeff Kusnitz, Rathinakumar Appuswamy, Chuck Haymes, Bernard Brezzo, Roger Moussalli, Ralph Bellofatto, Christian W. Baks, Michael Mastro, Kai Schleupen, Charles E. Cox, Ken Inoue, Steven E. Millman, Nabil Imam, Emmett McQuinn, Yutaka Y. Nakamura, Ivan Vo, Chen Guok, Don Nguyen, Scott Lekuch, Sameh W. Asaad, Daniel J. Friedman, Bryan L. Jackson, Myron Flickner, William P. Risk, Rajit Manohar, Dharmendra S. Modha

Proceedings of the International Conference for High Performance Computing, 2014

2013

Cognitive computing systems: Algorithms and applications for networks of neurosynaptic cores.

Steven K. Esser, Alexander Andreopoulos, Rathinakumar Appuswamy, Pallab Datta, Davis Barch, Arnon Amir, John V. Arthur, Andrew Cassidy, Myron Flickner, Paul Merolla, Shyamal Chandra, Nicola Basilico, Stefano Carpin, Tom Zimmerman, Frank Zee, Rodrigo Alvarez-Icaza, Jeffrey A. Kusnitz, Theodore M. Wong, William P. Risk, Emmett McQuinn, Tapan K. Nayak, Raghavendra Singh, Dharmendra S. Modha

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Cognitive computing building block: A versatile and efficient digital neuron model for neurosynaptic cores.

Andrew S. Cassidy, Paul Merolla, John V. Arthur, Steven K. Esser, Bryan L. Jackson, Rodrigo Alvarez-Icaza, Pallab Datta, Jun Sawada, Theodore M. Wong, Vitaly Feldman, Arnon Amir, Daniel Ben Dayan Rubin, Filipp Akopyan, Emmett McQuinn, William P. Risk, Dharmendra S. Modha

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Cognitive computing programming paradigm: A Corelet Language for composing networks of neurosynaptic cores.

Arnon Amir, Pallab Datta, William P. Risk, Andrew S. Cassidy, Jeffrey A. Kusnitz, Steven K. Esser, Alexander Andreopoulos, Theodore M. Wong, Myron Flickner, Rodrigo Alvarez-Icaza, Emmett McQuinn, Ben Shaw, Norm Pass, Dharmendra S. Modha

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

Inferior olive mirrors joint dynamics to implement an inverse controller.

Rodrigo Alvarez-Icaza, Kwabena Boahen

Biol. Cybern., 2012

Building block of a programmable neuromorphic substrate: A digital neurosynaptic core.

John V. Arthur, Paul Merolla, Filipp Akopyan, Rodrigo Alvarez-Icaza, Andrew Cassidy, Shyamal Chandra, Steven K. Esser, Nabil Imam, William P. Risk, Daniel Ben Dayan Rubin, Rajit Manohar, Dharmendra S. Modha

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

Deep cerebellar neurons mirror the spinal cord's gain to implement an inverse controller.

Rodrigo Alvarez-Icaza, Kwabena Boahen

Biol. Cybern., 2011