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Jayram Moorkanikara Nageswaran
Jayram Moorkanikara Nageswaran
Amazon, Ex Brain Corporation
Email verificata su braincorporation.com
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Citata da
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A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors
JM Nageswaran, N Dutt, JL Krichmar, A Nicolau, AV Veidenbaum
Neural networks 22 (5-6), 791-800, 2009
2852009
Round-trip engineering apparatus and methods for neural networks
B Szatmary, EM Izhikevich, C Petre, JM Nageswaran, F Piekniewski
US Patent 9,117,176, 2015
1682015
Apparatus and methods for temporally proximate object recognition
FL Piekniewski, C Petre, SH Sokol, B Szatmary, JM Nageswaran, ...
US Patent 9,122,994, 2015
1672015
Apparatus and methods for synaptic update in a pulse-coded network
EM Izhikevich, F Piekniewski, JM Nageswaran, JA Levin, V Rangan, ...
US Patent 9,147,156, 2015
1582015
Efficient simulation of large-scale spiking neural networks using CUDA graphics processors
JM Nageswaran, N Dutt, JL Krichmar, A Nicolau, A Veidenbaum
2009 International Joint Conference on Neural Networks, 2145-2152, 2009
1352009
High level neuromorphic network description apparatus and methods
B Szatmary, EM Izhikevich, C Petre, JM Nageswaran, F Piekniewski
US Patent 10,210,452, 2019
1342019
Apparatus and method for partial evaluation of synaptic updates based on system events
EM Izhikevich, F Piekniewski, JM Nageswaran
US Patent 8,725,662, 2014
1262014
Elementary network description for neuromorphic systems with plurality of doublets wherein doublet events rules are executed in parallel
EM Izhikevich, B Szatmary, C Petre, JM Nageswaran, F Piekniewski
US Patent 9,104,973, 2015
1132015
Systems and methods for providing a neural network having an elementary network description for efficient implementation of event-triggered plasticity rules
EM Izhikevich, B Szatmary, C Petre, F Piekniewski, JM Nageswaran
US Patent 8,719,199, 2014
1042014
An efficient automated parameter tuning framework for spiking neural networks
KD Carlson, JM Nageswaran, N Dutt, JL Krichmar
Frontiers in neuroscience 8, 10, 2014
882014
An efficient simulation environment for modeling large-scale cortical processing
M Richert, JM Nageswaran, N Dutt, JL Krichmar
Frontiers in neuroinformatics 5, 19, 2011
782011
Systems and methods for automatic detection of spills
D Fisher, C Griffin, M Richert, F Piekniewski, E Izhikevich, ...
US Patent 9,987,752, 2018
602018
Spiking neuron sensory processing apparatus and methods for saliency detection
B Szatmary, M Richert, E Izhikevich, JM Nageswaran, F Piekniewski, ...
US Patent 9,218,563, 2015
402015
Computing spike-based convolutions on GPUs
JM Nageswaran, N Dutt, Y Wang, T Delbrueck
2009 IEEE International Symposium on Circuits and Systems (ISCAS), 1917-1920, 2009
292009
Towards reverse engineering the brain: Modeling abstractions and simulation frameworks
JM Nageswaran, M Richert, N Dutt, JL Krichmar
2010 18th IEEE/IFIP International Conference on VLSI and System-on-Chip, 1-6, 2010
232010
Data processing system and method for monitoring the cache coherence of processing units
AS Terechko, JM Nageswaran
US Patent App. 11/577,592, 2009
192009
Cache-coherent heterogeneous multiprocessing as basis for streaming applications
J van Eijndhoven, J Hoogerbrugge, MN Jayram, P Stravers, A Terechko
Dynamic and robust streaming in and between connected consumer-electronic …, 2005
172005
A complexity effective communication model for behavioral modeling of signal processing applications
S Kiran, MN Jayram, P Rao, SK Nandy
Proceedings of the 40th annual Design Automation Conference, 412-415, 2003
162003
Apparatus and methods for event-triggered updates in parallel networks
EM Izhikevich, B Szatmary, C Petre, F Piekniewski, JM Nageswaran
US Patent 9,092,738, 2015
112015
Accelerating brain circuit simulations of object recognition with cell processors
A Felch, JM Nageswaran, A Chandrashekar, J Furlong, N Dutt, R Granger, ...
Innovative architecture for future generation high-performance processors …, 2007
112007
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