Rodrigo Alvarez-Icaza
IBM
14 Papers
25 Citations
Rodrigo Alvarez-Icaza is an academic researcher from IBM. The author has contributed to research in topics: TrueNorth & Computer science. The author has an hindex of 11, co-authored 14 publications.
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Papers
A million spiking-neuron integrated circuit with a scalable communication network and interface
Paul A. Merolla,John V. Arthur,Rodrigo Alvarez-Icaza,Andrew S. Cassidy,Jun Sawada,Filipp Akopyan,Bryan L. Jackson,Nabil Imam,Chen Guo,Yutaka Nakamura,Bernard Brezzo,Ivan Vo,Steven K. Esser,Rathinakumar Appuswamy,Brian Taba,Arnon Amir,Myron D. Flickner,William P. Risk,Rajit Manohar,Dharmendra S. Modha +19 more
TL;DR: Inspired by the brain’s structure, an efficient, scalable, and flexible non–von Neumann architecture is developed that leverages contemporary silicon technology and is well suited to many applications that use complex neural networks in real time, for example, multiobject detection and classification.
4.2K
TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip
Filipp Akopyan,Jun Sawada,Andrew S. Cassidy,Rodrigo Alvarez-Icaza,John V. Arthur,Paul A. Merolla,Nabil Imam,Yutaka 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 +17 more
TL;DR: This work developed TrueNorth, a 65 mW real-time neurosynaptic processor that implements a non-von Neumann, low-power, highly-parallel, scalable, and defect-tolerant architecture, and successfully demonstrated the use of TrueNorth-based systems in multiple applications, including visual object recognition.
1.5K
Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations
Ben Varkey Benjamin,Peiran Gao,Emmett McQuinn,Swadesh Choudhary,Anand R. Chandrasekaran,Jean-Marie Bussat,Rodrigo Alvarez-Icaza,John V. Arthur,Paul A. Merolla,Kwabena Boahen +9 more
- 24 Apr 2014
TL;DR: Neurogrid as discussed by the authors is a real-time neuromorphic system for simulating large-scale neural models in real time using 16 Neurocores, including axonal arbor, synapse, dendritic tree, and soma.
Cognitive computing building block: A versatile and efficient digital neuron model for neurosynaptic cores
Andrew S. Cassidy,Paul A. Merolla,John V. Arthur,Steve K. Esser,Bryan L. Jackson,Rodrigo Alvarez-Icaza,Pallab Datta,Jun Sawada,Theodore M. Wong,Vitaly Feldman,Arnon Amir,Daniel D Ben Dayan Rubin,Filipp Akopyan,Emmett McQuinn,William P. Risk,Dharmendra S. Modha +15 more
- 01 Aug 2013
TL;DR: A simple, digital, reconfigurable, versatile spiking neuron model that supports one-to-one equivalence between hardware and simulation and is implementable using only 1272 ASIC gates is developed.
318
Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications
Jun Sawada,Filipp Akopyan,Andrew S. Cassidy,Brian Taba,Michael DeBole,Pallab Datta,Rodrigo Alvarez-Icaza,Arnon Amir,John V. Arthur,Alexander Andreopoulos,Rathinakumar Appuswamy,Heinz Ing Grad Baier,Davis,David Berg,Carmelo di Nolfo,Steven K. Esser,Myron D. Flickner,Thomas A. Horvath,Bryan L. Jackson,Jeff Kusnitz,Scott Lekuch,Michael Mastro,Timothy Melano,Paul A. Merolla,Steven Edward Millman,Tapan K. Nayak,Norm Pass,Hartmut Penner,William P. Risk,Kai Schleupen,Benjamin Shaw,Hayley Wu,Brian Giera,Adam 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 R. Namburu,Dharmendra S. Modha +45 more
- 13 Nov 2016
TL;DR: This paper describes the hardware and software ecosystem encompassing the brain-inspired TrueNorth processor – a 70mW reconfigurable silicon chip with 1 million neurons, 256 million synapses, and 4096 parallel and distributed neural cores.
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