Arjun K. Bansal

Most-cited papers

1. Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks

   Urs Köster, T. Webb, Xin Wang, M. Nassar +10 more

   2017Neural Information Processing Systems286 citations

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2. Discovering Hidden Factors of Variation in Deep Networks

   Brian Cheung, J. Livezey, Arjun K. Bansal, B. Olshausen

   2014International Conference on Learning Representations200 citations

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3. Decoding 3D reach and grasp from hybrid signals in motor and premotor cortices: spikes, multiunit activity, and local field potentials.

   Arjun K. Bansal, Wilson A. Truccolo, C. Vargas-Irwin, J. Donoghue

   2012Journal of Neurophysiology199 citations Open access

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4. Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning

   S. Cyphers, Arjun K. Bansal, Anahita Bhiwandiwalla, J. Bobba +17 more

   2018151 citations

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5. Relationships among low-frequency local field potentials, spiking activity, and three-dimensional reach and grasp kinematics in primary motor and ventral premotor cortices.

   Arjun K. Bansal, C. Vargas-Irwin, Wilson A. Truccolo, J. Donoghue

   2011Journal of Neurophysiology146 citations Open access

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6. Decoding 3-d Reach and Grasp from Hybrid Signals in Motor and Premotor Cortices: Spikes, Multiunit Activity and Local Field Potentials

   Arjun K. Bansal, Wilson A. Truccolo, Carlos E, Vargas-Irwin +1 more

   32 citations

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7. Deep Semantic Protein Representation for Annotation, Discovery, and Engineering

   Ariel S. Schwartz, Gregory Hannum, Zach Dwiel, Michael Smoot +9 more

   2018bioRxiv21 citations Open access

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8. Neural Dynamics Underlying Target Detection in the Human Brain

   Arjun K. Bansal, Radhika Madhavan, Yigal Agam, A. Golby +2 more

   2014Journal of Neuroscience20 citations Open access

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9. Hierarchical Policy Learning is Sensitive to Goal Space Design

   Zach Dwiel, Madhavun Candadai, Mariano Phielipp, Arjun K. Bansal

   2019arXiv.org16 citations

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10. Temporal stability of visually selective responses in intracranial field potentials recorded from human occipital and temporal lobes.

    Arjun K. Bansal, Jedediah M. Singer, W. Anderson, A. Golby +2 more

    2012Journal of Neurophysiology13 citations Open access

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11. Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning

    D. Scott Cyphers, Arjun K. Bansal, Anahita Bhiwandiwalla, J. Bobba +17 more

    2018arXiv.org10 citations

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12. Generalization to Novel Objects using Prior Relational Knowledge

    V. Vijay, Abhinav Ganesh, Han-Lin Tang, Arjun K. Bansal

    2019arXiv.org7 citations

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13. Neural Interactions Underlying Visuomotor Associations in the Human Brain.

    Radhika Madhavan, Arjun K. Bansal, J. Madsen, A. Golby +4 more

    2018Cerebral Cortex6 citations Open access

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14. Perilesional neuromodulation replaces lost sensorimotor function in persons with spinal cord injury.

    Jonathan S. Calvert, Samuel R. Parker, L. Govindarajan, R. Darie +21 more

    2026Nature Biomedical Engineering4 citations

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15. Title: Relationships among Low-frequency Local Field Potentials, Spiking Activity and 2 3-d Reach and Grasp Kinematics in Primary Motor and Ventral Premotor Cortices 3 4 Running Head: Lf-lfp, Spikes and 3-d Reach and Grasp Kinematics 13

    Arjun K. Bansal, C. Vargas-Irwin, Wilson A. Truccolo, J. Donoghue

    20111 citations

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16. NOVEL OBJECTS USING PRIOR RELATIONAL KNOWLEDGE

    Varun V. Kumar, Hanlin Tang, Arjun K. Bansal

    20190 citations

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17. Nervanasystems/Neon: New Data Loader (Aeon), Neural Machine Translation, Doc Updates And Bug Fixes

    S. Leishman, Apark, Ani Thomas, Jennifer Myers +26 more

    20160 citations

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18. occipital and temporal lobes intracranial field potentials recorded from human Temporal stability of visually selective responses in

    Gabriel Kreiman, Arjun K. Bansal, Jedediah M. Singer, W. Anderson +2 more

    20120 citations

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19. Geometric Analysis of the Axo-Dendritic Interface inNeocortical Pyramidal Neurons

    Bartlett W. Mel, Arjun K. Bansal

    20040 citations

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