Arjun K Bansal
Arjun K Bansal
Verified email at intel.com - Homepage
Title
Cited by
Cited by
Year
Decoding 3-D reach and grasp from hybrid signals in motor and premotor cortices: spikes, multiunit activity and local field potentials
AK Bansal, W Truccolo, CE Vargas-Irwin, JP Donoghue
Journal of Neurophysiology 107 (3), 1337-55, 2012
2012012
Flexpoint: An adaptive numerical format for efficient training of deep neural networks
U Köster, TJ Webb, X Wang, M Nassar, AK Bansal, WH Constable, ...
arXiv preprint arXiv:1711.02213, 2017
1932017
Discovering hidden factors of variation in deep networks
B Cheung, JA Livezey, AK Bansal, BA Olshausen
arXiv preprint arXiv:1412.6583, 2014
1802014
Relationships among low-frequency local field potentials, spiking activity, and three-dimensional reach and grasp kinematics in primary motor and ventral premotor cortices
AK Bansal, CE Vargas-Irwin, W Truccolo, JP Donoghue
Journal of neurophysiology 105 (4), 1603-1619, 2011
1302011
Intel ngraph: An intermediate representation, compiler, and executor for deep learning
S Cyphers, AK Bansal, A Bhiwandiwalla, J Bobba, M Brookhart, ...
arXiv preprint arXiv:1801.08058, 2018
782018
Neural dynamics underlying target detection in the human brain
AK Bansal, R Madhavan, Y Agam, A Golby, JR Madsen, G Kreiman
Journal of Neuroscience 34 (8), 3042-3055, 2014
152014
Deep semantic protein representation for annotation, discovery, and engineering
AS Schwartz, GJ Hannum, ZR Dwiel, ME Smoot, AR Grant, JM Knight, ...
BioRxiv, 365965, 2018
122018
Temporal stability of visually selective responses in intracranial field potentials recorded from human occipital and temporal lobes
AK Bansal, JM Singer, WS Anderson, A Golby, JR Madsen, G Kreiman
Journal of Neurophysiology 108 (11), 3073-3086, 2012
82012
Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning. CoRR abs/1801.08058 (2018)
S Cyphers, AK Bansal, A Bhiwandiwalla, J Bobba, M Brookhart, ...
arXiv preprint arXiv:1801.08058, 2018
62018
Hierarchical policy learning is sensitive to goal space design
Z Dwiel, M Candadai, M Phielipp, AK Bansal
arXiv preprint arXiv:1905.01537, 2019
52019
Neural interactions underlying Visuomotor associations in the human brain
R Madhavan, AK Bansal, JR Madsen, AJ Golby, TS Tierney, EN Eskandar, ...
Cerebral Cortex 29 (11), 4551-4567, 2019
32019
Generalization to novel objects using prior relational knowledge
VK Vijay, A Ganesh, H Tang, A Bansal
arXiv preprint arXiv:1906.11315, 2019
32019
User-identification using Face Recognition Algorithms
A Bansal
CNS, 2004
12004
Human single units in reach and grasp prostheses
AK Bansal
Single neuron studies of the human brain: Probing Cognition, 305-325, 2014
2014
Decoding 3-D reach and grasp kinematics from hybrid signals in motor and premotor cortices: spikes, multiunit activity and local field potentials
AK Bansal, W Truccolo, CE Vargas-Irwin, JP Donoghue
Machine Learning, Statistical Inference and Neuroscience, Janelia Farm …, 2012
2012
Temporal stability of visually selective responses in intracranial field potentials from the human occipital and temporal lobes.
AK Bansal, J Singer, JR Madsen, G Kreiman
Society for Neuroscience Nanosymposium, Washington D.C., 2011
2011
Temporal stability of visually selective responses in intracranial field potentials from the human occipital and temporal lobes.
AK Bansal, J Singer, JR Madsen, G Kreiman
Human Single Unit Meeting, New York., 2011
2011
Decoding 3-D reach and grasp kinematics from multi-scale spatiotemporal neural activity in primary motor and ventral premotor cortex.
AK Bansal, W Truccolo, CE Vargas-Irwin, JP Donoghue
Society for Neuroscience Annual Meeting, San Diego, CA., 2010
2010
A slow-wave local field potential related to reaching and grasping in primate primary motor cortex and ventral premotor cortex.
AK Bansal, C Vargas-Irwin, JP Donoghue
Society of Neuroscience Annual Meeting, Washington D.C., 2008
2008
On-line detection and sorting of extracellularly recorded action potentials from the human medial temporal lobe
U Rutishauser, AK Bansal, AN Mamelak, EM Schuman
Society for Neuroscience Annual Meeting, Washington D.C., 2005
2005
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