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Gina C Adam

Showing results (1-10 of 12) with videos related to

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Nature|June 7, 2018
Two artificial synapses are better than oneGina C Adam
Nature Communications|December 12, 2018
Challenges hindering memristive neuromorphic hardware from going mainstreamGina C Adam, Ali Khiat, Themis Prodromakis
Scientific Reports|April 9, 2022
Data-driven RRAM device models using Kriging interpolationImtiaz Hossen, Mark A Anders, Lin Wang, et al.
Scientific Reports|July 9, 2025
Biologically-informed excitatory and inhibitory ratio for robust spiking neural network trainingJoseph A Kilgore, Jeffrey D Kopsick, Giorgio A Ascoli, et al.
Biorxiv : the Preprint Server for Biology|April 8, 2024
Formation and Retrieval of Cell Assemblies in a Biologically Realistic Spiking Neural Network Model of Area CA3 in the Mouse HippocampusJeffrey D Kopsick, Joseph A Kilgore, Gina C Adam, et al.
Journal of Computational Neuroscience|September 16, 2024
Formation and retrieval of cell assemblies in a biologically realistic spiking neural network model of area CA3 in the mouse hippocampusJeffrey D Kopsick, Joseph A Kilgore, Gina C Adam, et al.
Advanced Intelligent Systems (Weinheim an Der Bergstrasse, Germany)|August 29, 2022
Hardware-Mappable Cellular Neural Networks for Distributed Wavefront Detection in Next-Generation Cardiac ImplantsZhuolin Yang, Lei Zhang, Kedar Aras, et al.
Frontiers in Neuroscience|December 9, 2021
Gradient Decomposition Methods for Training Neural Networks With Non-ideal Synaptic DevicesJunyun Zhao, Siyuan Huang, Osama Yousuf, et al.
Nature Communications|December 8, 2017
Stateful characterization of resistive switching TiO<sub>2</sub> with electron beam induced currentsBrian D Hoskins, Gina C Adam, Evgheni Strelcov, et al.
Nature Communications|January 26, 2018
Publisher Correction: Stateful characterization of resistive switching TiO<sub>2</sub> with electron beam induced currentsBrian D Hoskins, Gina C Adam, Evgheni Strelcov, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Nature|June 7, 2018
Two artificial synapses are better than oneGina C Adam
Nature Communications|December 12, 2018
Challenges hindering memristive neuromorphic hardware from going mainstreamGina C Adam, Ali Khiat, Themis Prodromakis
Scientific Reports|April 9, 2022
Data-driven RRAM device models using Kriging interpolationImtiaz Hossen, Mark A Anders, Lin Wang, et al.
Scientific Reports|July 9, 2025
Biologically-informed excitatory and inhibitory ratio for robust spiking neural network trainingJoseph A Kilgore, Jeffrey D Kopsick, Giorgio A Ascoli, et al.
Biorxiv : the Preprint Server for Biology|April 8, 2024
Formation and Retrieval of Cell Assemblies in a Biologically Realistic Spiking Neural Network Model of Area CA3 in the Mouse HippocampusJeffrey D Kopsick, Joseph A Kilgore, Gina C Adam, et al.
Journal of Computational Neuroscience|September 16, 2024
Formation and retrieval of cell assemblies in a biologically realistic spiking neural network model of area CA3 in the mouse hippocampusJeffrey D Kopsick, Joseph A Kilgore, Gina C Adam, et al.
Advanced Intelligent Systems (Weinheim an Der Bergstrasse, Germany)|August 29, 2022
Hardware-Mappable Cellular Neural Networks for Distributed Wavefront Detection in Next-Generation Cardiac ImplantsZhuolin Yang, Lei Zhang, Kedar Aras, et al.
Frontiers in Neuroscience|December 9, 2021
Gradient Decomposition Methods for Training Neural Networks With Non-ideal Synaptic DevicesJunyun Zhao, Siyuan Huang, Osama Yousuf, et al.
Nature Communications|December 8, 2017
Stateful characterization of resistive switching TiO<sub>2</sub> with electron beam induced currentsBrian D Hoskins, Gina C Adam, Evgheni Strelcov, et al.
Nature Communications|January 26, 2018
Publisher Correction: Stateful characterization of resistive switching TiO<sub>2</sub> with electron beam induced currentsBrian D Hoskins, Gina C Adam, Evgheni Strelcov, et al.
Pageof 2