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Catherine D Schuman

Showing results (1-10 of 10) with videos related to

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Plos One|December 5, 2013
Dynamic artificial neural networks with affective systemsCatherine D Schuman, J Douglas Birdwell
Nature Computational Science|January 4, 2024
Opportunities for neuromorphic computing algorithms and applicationsCatherine D Schuman, Shruti R Kulkarni, Maryam Parsa, et al.
Nature Computational Science|January 12, 2024
Publisher Correction: Opportunities for neuromorphic computing algorithms and applicationsCatherine D Schuman, Shruti R Kulkarni, Maryam Parsa, et al.
Frontiers in Neuroscience|August 28, 2020
Bayesian Multi-objective Hyperparameter Optimization for Accurate, Fast, and Efficient Neural Network Accelerator DesignMaryam Parsa, John P Mitchell, Catherine D Schuman, et al.
Communications Engineering|March 12, 2025
AI-guided framework for the design of materials and devices for magnetic-tunnel-junction-based true random number generatorsKaran P Patel, Andrew Maicke, Jared Arzate, et al.
MRS Bulletin|March 13, 2023
Heterosynaptic plasticity in biomembrane memristors controlled by pHWilliam T McClintic, Haden L Scott, Nick Moore, et al.
ACS Nano|March 27, 2018
Memristive Ion Channel-Doped Biomembranes as Synaptic MimicsJoseph S Najem, Graham J Taylor, Ryan J Weiss, et al.
Advanced Materials (Deerfield Beach, Fla.)|November 17, 2022
Probabilistic Neural Computing with Stochastic DevicesShashank Misra, Leslie C Bland, Suma G Cardwell, et al.
Journal of Visualized Experiments : Jove|March 26, 2019
Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid MembranesJoseph S Najem, Graham J Taylor, Nick Armendarez, et al.
Nature Communications|April 25, 2024
Multi-level, forming and filament free, bulk switching trilayer RRAM for neuromorphic computing at the edgeJaeseoung Park, Ashwani Kumar, Yucheng Zhou, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Plos One|December 5, 2013
Dynamic artificial neural networks with affective systemsCatherine D Schuman, J Douglas Birdwell
Nature Computational Science|January 4, 2024
Opportunities for neuromorphic computing algorithms and applicationsCatherine D Schuman, Shruti R Kulkarni, Maryam Parsa, et al.
Nature Computational Science|January 12, 2024
Publisher Correction: Opportunities for neuromorphic computing algorithms and applicationsCatherine D Schuman, Shruti R Kulkarni, Maryam Parsa, et al.
Frontiers in Neuroscience|August 28, 2020
Bayesian Multi-objective Hyperparameter Optimization for Accurate, Fast, and Efficient Neural Network Accelerator DesignMaryam Parsa, John P Mitchell, Catherine D Schuman, et al.
Communications Engineering|March 12, 2025
AI-guided framework for the design of materials and devices for magnetic-tunnel-junction-based true random number generatorsKaran P Patel, Andrew Maicke, Jared Arzate, et al.
MRS Bulletin|March 13, 2023
Heterosynaptic plasticity in biomembrane memristors controlled by pHWilliam T McClintic, Haden L Scott, Nick Moore, et al.
ACS Nano|March 27, 2018
Memristive Ion Channel-Doped Biomembranes as Synaptic MimicsJoseph S Najem, Graham J Taylor, Ryan J Weiss, et al.
Advanced Materials (Deerfield Beach, Fla.)|November 17, 2022
Probabilistic Neural Computing with Stochastic DevicesShashank Misra, Leslie C Bland, Suma G Cardwell, et al.
Journal of Visualized Experiments : Jove|March 26, 2019
Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid MembranesJoseph S Najem, Graham J Taylor, Nick Armendarez, et al.
Nature Communications|April 25, 2024
Multi-level, forming and filament free, bulk switching trilayer RRAM for neuromorphic computing at the edgeJaeseoung Park, Ashwani Kumar, Yucheng Zhou, et al.
Pageof 1