Low latency hybrid CORDIC algorithm R Shukla, KC Ray IEEE Transactions on Computers 63 (12), 3066-3078, 2013 | 79 | 2013 |
Evaluating hopfield-network-based linear solvers for hardware constrained neural substrates R Shukla, E Jorgensen, M Lipasti 2017 International Joint Conference on Neural Networks (IJCNN), 3938-3945, 2017 | 16 | 2017 |
Remodel: rethinking deep cnn models to detect and count on a neurosynaptic system R Shukla, M Lipasti, B Van Essen, A Moody, N Maruyama Frontiers in neuroscience 13, 4, 2019 | 14 | 2019 |
Effect of subliminal lexical priming on the subjective perception of images: A machine learning approach DM Mohan, P Kumar, F Mahmood, KF Wong, A Agrawal, M Elgendi, ... PLoS one 11 (2), e0148332, 2016 | 13 | 2016 |
From auditory and visual to immersive neurofeedback: application to diagnosis of Alzheimer’s disease M Elgendi, J Dauwels, B Rebsamen, R Shukla, Y Putra, J Gamez, ... Neural Computation, Neural Devices, and Neural Prosthesis, 63-97, 2014 | 12 | 2014 |
BitSAD v2: Compiler Optimization and Analysis for Bitstream Computing K Daruwalla, H Zhuo, R Shukla, M Lipasti ACM Transactions on Architecture and Code Optimization (TACO) 16 (4), 1-25, 2019 | 10 | 2019 |
Computing generalized matrix inverse on spiking neural substrate R Shukla, S Khoram, E Jorgensen, J Li, M Lipasti, S Wright Frontiers in neuroscience 12, 115, 2018 | 10 | 2018 |
A self-learning map-seeking circuit for visual object recognition R Shukla, M Lipasti 2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015 | 4 | 2015 |
On the effect of subliminal priming on subjective perception of images: A machine learning approach P Kumar, F Mahmood, DM Mohan, K Wong, A Agrawal, M Elgendi, ... 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 2 | 2014 |
Exploring CPU-GPU Coherence G Subramanian, U Thakker, S Haria, R Shukla, H Lin | 1 | 2015 |
CORDIC-based VLSI architecture for implementing Log Polar Transformation for real time applications KC Ray, R Shukla, AS Dhar 2010 Second International conference on Computing, Communication and …, 2010 | 1 | 2010 |
Addressing the algorithmic gap in low-precision neural network substrates R Shukla The University of Wisconsin-Madison, 2018 | | 2018 |
Inferring subliminal primes from EEG through machine learning P Kumar, F Mahmood, K Wong, A Agrawal, M Elgendi, S Kannan, ... | | |
Implementing Stochastic Hopfield-Network-based Linear Solvers on a Hardware-Constrained Neural Substrate E Jorgensen, R Shukla, M Lipasti | | |