Gina C. Adam

According to our database, Gina C. Adam authored at least 26 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Formation and retrieval of cell assemblies in a biologically realistic spiking neural network model of area CA3 in the mouse hippocampus.

Jeffrey D. Kopsick, Joseph A. Kilgore, Gina C. Adam, Giorgio A. Ascoli

J. Comput. Neurosci., November, 2024

Multi-Memristor Based Distributed Decision Tree Circuit for Cybersecurity Applications.

Lei Zhang, Joseph Riem, Jingdi Chen, Henry Mackay, Tian Lan, Nathaniel D. Bastian, Gina C. Adam

IEEE Trans. Circuits Syst. I Regul. Pap., August, 2024

Biologically-Informed Excitatory and Inhibitory Balance for Robust Spiking Neural Network Training.

Joseph A. Kilgore, Jeffrey D. Kopsick, Giorgio A. Ascoli, Gina C. Adam

CoRR, 2024

Layer Ensemble Averaging for Improving Memristor-Based Artificial Neural Network Performance.

Osama Yousuf, Brian Hoskins, Karthick Ramu, Mitchell Fream, William A. Borders, Advait Madhavan, Matthew W. Daniels, Andrew Dienstfrey, Jabez J. McClelland, Martin Lueker-Boden, Gina C. Adam

CoRR, 2024

2023

Low-Rank Gradient Descent for Memory-Efficient Training of Deep In-Memory Arrays.

Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam

ACM J. Emerg. Technol. Comput. Syst., April, 2023

Device Modeling Bias in ReRAM-Based Neural Network Simulations.

Osama Yousuf, Imtiaz Hossen, Matthew W. Daniels, Martin Lueker-Boden, Andrew Dienstfrey, Gina C. Adam

IEEE J. Emerg. Sel. Topics Circuits Syst., March, 2023

Real-time Network Intrusion Detection via Decision Transformers.

Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Gina C. Adam, Nathaniel D. Bastian, Tian Lan

CoRR, 2023

Neural Network Modeling Bias for Hafnia-based FeFETs.

Osama Yousuf, Imtiaz Hossen, Andreu Glasmann, Sina Najmaei, Gina C. Adam

Proceedings of the 18th ACM International Symposium on Nanoscale Architectures, 2023

RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture.

Jingdi Chen, Lei Zhang, Joseph Riem, Gina C. Adam, Nathaniel D. Bastian, Tian Lan

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2023

2022

Hardware-Mappable Cellular Neural Networks for Distributed Wavefront Detection in Next-Generation Cardiac Implants.

Zhuolin Yang, Lei Zhang, Kedar Aras, Igor R. Efimov, Gina C. Adam

Adv. Intell. Syst., 2022

Effect of OTS Selector Reliabilities on NVM Crossbar-based Neuromorphic Training.

Wen Ma, Tung Thanh Hoang, Brian Hoskins, Matthew W. Daniels, Jabez J. McClelland, Yutong Gao, Gina C. Adam, Martin Lueker-Boden

Proceedings of the IEEE International Reliability Physics Symposium, 2022

2021

Radiofrequency Switches Based on Emerging Resistive Memory Technologies - A Survey.

Nicolás Wainstein, Gina C. Adam, Eilam Yalon, Shahar Kvatinsky

Proc. IEEE, 2021

A System for Validating Resistive Neural Network Prototypes.

Brian Hoskins, Wen Ma, Mitchell Fream, Osama Yousuf, Matthew W. Daniels, Jonathan Goodwill, Advait Madhavan, Hoang Tung, Mark Branstad, Muqing Liu, Rasmus Madsen, Jabez Mclelland, Gina C. Adam, Martin Lueker-Boden

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

2020

Memory-efficient training with streaming dimensionality reduction.

Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam

CoRR, 2020

Batch Training for Neuromorphic Systems with Device Non-idealities.

Yutong Gao, Shang Wu, Gina C. Adam

Proceedings of the International Conference on Neuromorphic Systems, 2020

Streaming Batch Gradient Tracking for Neural Network Training (Student Abstract).

Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Streaming Batch Eigenupdates for Hardware Neuromorphic Networks.

Brian D. Hoskins, Matthew W. Daniels, Siyuan Huang, Advait Madhavan, Gina C. Adam, Nikolai Zhitenev, Jabez J. McClelland, Mark D. Stiles

CoRR, 2019

2017

Micro- and Macroscale Ideas of Current Among Upper-Division Electrical Engineering Students.

Gina C. Adam, Danielle Boyd Harlow, Susan M. Lord, Christian H. Kautz

IEEE Trans. Educ., 2017

Utilizing I-V non-linearity and analog state variations in ReRAM-based security primitives.

Gina C. Adam, Hussein Nili, Jeeson Kim, Brian D. Hoskins, Omid Kavehei, Dmitri B. Strukov

Proceedings of the 47th European Solid-State Device Research Conference, 2017

2016

Highly-Secure Physically Unclonable Cryptographic Primitives Using Nonlinear Conductance and Analog State Tuning in Memristive Crossbar Arrays.

Hussein Nili, Gina C. Adam, Mirko Prezioso, Jeeson Kim, Farnood Merrikh-Bayat, Omid Kavehei, Dmitri B. Strukov

CoRR, 2016

Spiking neuromorphic networks with metal-oxide memristors.

Mirko Prezioso, Y. Zhong, D. Gavrilov, Farnood Merrikh-Bayat, Brian Hoskins, Gina C. Adam, Konstantin K. Likharev, Dmitri B. Strukov

Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Highly-uniform multi-layer ReRAM crossbar circuits.

Gina C. Adam, Brian D. Hoskins, Mirko Prezioso, Farnood Merrikh-Bayat, Bhaswar Chakrabarti, Dmitri B. Strukov

Proceedings of the 46th European Solid-State Device Research Conference, 2016

2015

Three-Dimensional Stateful Material Implication Logic.

Gina C. Adam, Brian D. Hoskins, Mirko Prezioso, Dmitri B. Strukov

CoRR, 2015

2014

Training and Operation of an Integrated Neuromorphic Network Based on Metal-Oxide Memristors.

Mirko Prezioso, Farnood Merrikh-Bayat, Brian Hoskins, Gina C. Adam, Konstantin K. Likharev, Dmitri B. Strukov

CoRR, 2014

What motivates STEM teachers to attend professional development? A case study in Chilian high schools.

Gina C. Adam, Danielle Boyd Harlow, Vanessa N. Dominguez

Proceedings of the IEEE Frontiers in Education Conference, 2014

2011

3D implication logic: Preliminary results.

Gina C. Adam

Proceedings of the 2011 International Conference on Field-Programmable Technology, 2011