Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Paul A. Merolla"'
Autor:
Nabil eImam, Thomas A. Cleland, Rajit eManohar, Paul A. Merolla, John V. Arthur, Filipp eAkopyan, Dharmendra S. Modha
Publikováno v:
Frontiers in Neuroscience, Vol 6 (2012)
We present a biomimetic system that captures essential functional properties of the glomerular layer of the mammalian olfactory bulb, specifically including its capacity to decorrelate similar odor representations without foreknowledge of the statist
Externí odkaz:
https://doaj.org/article/bbd1f2e7a6154b6296f2e1d06e2a7751
Publikováno v:
VLSI Circuits
A fully implantable brain-machine interface (BMI) targeting clinical applications has stringent size and power requirements. In this paper we present a 5×4mm2 neural system-on-chip (SoC) capable of recording and stimulating from 1024 implanted elect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f05ce5db6185da3dd0dbc9688961e25
https://doi.org/10.23919/vlsicircuits52068.2021.9492480
https://doi.org/10.23919/vlsicircuits52068.2021.9492480
Autor:
Dharmendra S. Modha, Bruno U. Pedroni, John V. Arthur, Srinjoy Das, Gert Cauwenberghs, Bryan L. Jackson, Kenneth Kreutz-Delgado, Paul A. Merolla
Publikováno v:
IEEE Transactions on Biomedical Circuits and Systems. 10:837-854
Stochastic neural networks such as Restricted Boltzmann Machines (RBMs) have been successfully used in applications ranging from speech recognition to image classification. Inference and learning in these algorithms use a Markov Chain Monte Carlo pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e02b7d8ed1febb83dff3129ed834cfd
https://doi.org/10.1109/tbcas.2016.2539352
https://doi.org/10.1109/tbcas.2016.2539352
Autor:
Bryan L. Jackson, Rajit Manohar, Andrew S. Cassidy, Brian Taba, Gi-Joon Nam, Paul A. Merolla, Rodrigo Alvarez-Icaza, William P. Risk, Jente B. Kuang, Pallab Datta, Filipp Akopyan, Michael P. Beakes, John V. Arthur, Nabil Imam, Bernard Brezzo, Yutaka Nakamura, Dharmendra S. Modha, Jun Sawada
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 34:1537-1557
The new era of cognitive computing brings forth the grand challenge of developing systems capable of processing massive amounts of noisy multisensory data. This type of intelligent computing poses a set of constraints, including real-time operation,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4608c0c8298c2492f7d58bbe0cd2a77
https://doi.org/10.1109/tcad.2015.2474396
https://doi.org/10.1109/tcad.2015.2474396
Autor:
Bryan L. Jackson, Filipp Akopyan, Andrew S. Cassidy, Arnon Amir, Rodrigo Alvarez-Icaza, Rajit Manohar, Steven K. Esser, Paul A. Merolla, John V. Arthur, Myron D. Flickner, Dharmendra S. Modha, Jun Sawada, Yutaka Nakamura, William P. Risk, Ivan Vo, Bernard Brezzo, Rathinakumar Appuswamy, Brian Taba, Nabil Imam, Chen Guo
Publikováno v:
Science. 345:668-673
Modeling computer chips on real brains Computers are nowhere near as versatile as our own brains. Merolla et al. applied our present knowledge of the structure and function of the brain to design a new computer chip that uses the same wiring rules an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddea8d132ab672af1b9c3e153f9189a8
https://doi.org/10.1126/science.1254642
https://doi.org/10.1126/science.1254642
Autor:
Peiran Gao, Emmett McQuinn, Swadesh Choudhary, Kwabena Boahen, Rodrigo Alvarez-Icaza, Anand R. Chandrasekaran, Ben Varkey Benjamin, John V. Arthur, Paul A. Merolla, Jean-Marie Bussat
Publikováno v:
Proceedings of the IEEE. 102:699-716
In this paper, we describe the design of Neurogrid, a neuromorphic system for simulating large-scale neural models in real time. Neuromorphic systems realize the function of biological neural systems by emulating their structure. Designers of such sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5cd9d71e912a5ebd289c346d2fc8003
https://doi.org/10.1109/jproc.2014.2313565
https://doi.org/10.1109/jproc.2014.2313565
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 61:820-833
We present a tree router for multichip systems that guarantees deadlock-free multicast packet routing without dropping packets or restricting their length. Multicast routing is required to efficiently connect massively parallel systems' computational
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8db7f048145cc6a0bee8a042e63b4223
https://doi.org/10.1109/tcsi.2013.2284184
https://doi.org/10.1109/tcsi.2013.2284184
Autor:
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 Shaw, Hayley Wu, Brian Giera, Adam T. Moody, Nathan Mundhenk, Brian C. 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
Publikováno v:
SC16: International Conference for High Performance Computing, Networking, Storage and Analysis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4eb353a85553254286eef8f2d979b3c7
https://doi.org/10.1109/sc.2016.11
https://doi.org/10.1109/sc.2016.11
Autor:
Garrick Orchard, John V. Arthur, Dharmendra S. Modha, Bryan L. Jackson, Daniel R. Mendat, Andreas G. Andreou, Andrew Dykman, Kate D. Fischl, Rodrigo Alvarez-Icaza, Guillaume Garreau, Paul A. Merolla, Andrew S. Cassidy
Publikováno v:
ISCAS
The IBM TrueNorth (TN) Neurosynaptic System, is a chip multi processor [1] with a tightly coupled processor/memory architecture, that results in energy efficient neurocomputing and it is a significant milestone to over 30 years of neuromorphic engine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de4211b3f04e641d8be9945cf697c9e2
https://doi.org/10.1109/iscas.2016.7539214
https://doi.org/10.1109/iscas.2016.7539214
Autor:
Andrew S. Cassidy, Carmelo di Nolfo, David Berg, Brian Taba, Paul A. Merolla, Pallab Datta, John V. Arthur, Myron D. Flickner, Jeffrey L. McKinstry, Rathinakumar Appuswamy, Arnon Amir, Steven K. Esser, Alexander Andreopoulos, R Davis, Dharmendra S. Modha, Timothy Melano
Deep networks are now able to achieve human-level performance on a broad spectrum of recognition tasks. Independently, neuromorphic computing has now demonstrated unprecedented energy-efficiency through a new chip architecture based on spiking neuron
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9053823adca098d05381183eb15f2b06
http://arxiv.org/abs/1603.08270
http://arxiv.org/abs/1603.08270
