Jayram Moorkanikara Nageswaran

Novel Brain-Derived Algorithms Scale Linearly with Number of Processing Elements

Nikil D. Dutt, Alexander V. Veidenbaum, Alexandru Nicolau, 2007, PARCO.

A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors

Nikil D. Dutt, Alexander V. Veidenbaum, Alexandru Nicolau, 2009, Neural Networks.

An efficient automated parameter tuning framework for spiking neural networks

Nikil Dutt, Jeffrey L. Krichmar, Jayram Moorkanikara Nageswaran, 2014, Front. Neurosci..

Neuromorphic modeling abstractions and simulation of large-scale cortical networks

Nikil D. Dutt, Jeffrey L. Krichmar, Jayram Moorkanikara Nageswaran, 2011, 2011 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

An Efficient Simulation Environment for Modeling Large-Scale Cortical Processing

Nikil D. Dutt, Jeffrey L. Krichmar, Jayram Moorkanikara Nageswaran, 2011, Front. Neuroinform..

Brain Derived Vision Algorithm on High Performance Architectures

Nikil D. Dutt, Alexander V. Veidenbaum, Alexandru Nicolau, 2009, International Journal of Parallel Programming.

Computing spike-based convolutions on GPUs

Nikil D. Dutt, Tobi Delbrück, Jayram Moorkanikara Nageswaran, 2009, 2009 IEEE International Symposium on Circuits and Systems.

Live demonstration: Computing spike-based convolutions on GPUs

Nikil D. Dutt, Tobi Delbrück, Jayram Moorkanikara Nageswaran, 2009, 2009 IEEE International Symposium on Circuits and Systems.

Framework for modeling spiking neural networks on high-performance graphics processors

Jayram Moorkanikara Nageswaran, 2010 .

Towards reverse engineering the brain: Modeling abstractions and simulation frameworks

Nikil D. Dutt, Jeffrey L. Krichmar, Jayram Moorkanikara Nageswaran, 2010, 2010 18th IEEE/IFIP International Conference on VLSI and System-on-Chip.

Design space exploration and parameter tuning for neuromorphic applications

Nikil D. Dutt, Jeffrey L. Krichmar, Jayram Moorkanikara Nageswaran, 2013, 2013 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS).

Efficient simulation of large-scale Spiking Neural Networks using CUDA graphics processors

Nikil D. Dutt, Alexander V. Veidenbaum, Alexandru Nicolau, 2009, 2009 International Joint Conference on Neural Networks.

Emergence of bottom-up saliency in a spiking model of V1

Jayram Moorkanikara Nageswaran, Filip Piekniewski, Eugene M Izhikevich, 2013, BMC Neuroscience.