Reconfigurable N-level memristor memory design. - Cory E. Merkel; Nakul Nagpal; Sindhura Mandalapu; Dhireesha Kudithipudi (IJCNN, 2011)

Design-time performance evaluation of thermal management policies for SRAM and RRAM based 3D MPSoCs. - David Brenner; Cory E. Merkel; Dhireesha Kudithipudi (ACM Great Lakes Symposium on VLSI, 2012)

RRAM-based adaptive neural logic block for implementing non-linearly separable functions in a single layer. - Michael Soltiz; Cory E. Merkel; Dhireesha Kudithipudi; Garrett S. Rose (NANOARCH, 2012)

Lightweight energy prediction framework for solar-powered wireless sensor networks. - Cory E. Merkel; Dhireesha Kudithipudi; Andres Kwasinski (SoCC, 2012)

Towards Thermal Profiling in CMOS/Memristor Hybrid RRAM Architectures. - Cory E. Merkel; Dhireesha Kudithipudi (VLSI Design, 2012)

Periodic activation functions in memristor-based analog neural networks. - Cory E. Merkel; Dhireesha Kudithipudi; Nick Sereni (IJCNN, 2013)

Memristor-Based Neural Logic Blocks for Nonlinearly Separable Functions. - Michael Soltiz; Dhireesha Kudithipudi; Cory E. Merkel; Garrett S. Rose; Robinson E. Pino (IEEE Trans. Computers, 2013)

Memristive Reservoir Computing Architecture for Epileptic Seizure Detection. - Cory E. Merkel; Qutaiba Saleh; Colin Donahue; Dhireesha Kudithipudi (BICA, 2014)

A current-mode CMOS/memristor hybrid implementation of an extreme learning machine. - Cory E. Merkel; Dhireesha Kudithipudi (ACM Great Lakes Symposium on VLSI, 2014)

Neuromemristive Extreme Learning Machines for Pattern Classification. - Cory E. Merkel; Dhireesha Kudithipudi (ISVLSI, 2014)

On designing circuit primitives for cortical processors with memristive hardware. - Dhireesha Kudithipudi; Cory E. Merkel; Yu Kee Ooi; Qutaiba Saleh; Garrett S. Rose (SoCC, 2014)

A stochastic learning algorithm for neuromemristive systems. - Cory E. Merkel; Dhireesha Kudithipudi (SoCC, 2014)

Temperature Sensing RRAM Architecture for 3-D ICs. - Cory E. Merkel; Dhireesha Kudithipudi (IEEE Trans. Very Large Scale Integr. Syst., 2014)

Design of Neuromorphic Architectures with Memristors. - Dhireesha Kudithipudi; Cory E. Merkel; Michael Soltiz; Garrett S. Rose; Robinson E. Pino (Network Science and Cybersecurity, 2014)

Design and analysis of neuromemristive echo state networks with limited-precision synapses. - Colin Donahue; Cory E. Merkel; Qutaiba Saleh; Levs Dolgovs; Yu Kee Ooi; Dhireesha Kudithipudi; Bryant T. Wysocki (CISDA, 2015)

Memristive computational architecture of an echo state network for real-time speech-emotion recognition. - Qutaiba Saleh; Cory E. Merkel; Dhireesha Kudithipudi; Bryant T. Wysocki (CISDA, 2015)

Comparison of Off-Chip Training Methods for Neuromemristive Systems. - Cory E. Merkel; Dhireesha Kudithipudi (VLSID, 2015)

A design of HTM spatial pooler for face recognition using memristor-CMOS hybrid circuits. - Timur Ibrayev; Alex Pappachen James; Cory E. Merkel; Dhireesha Kudithipudi (ISCAS, 2016)

Invited: Towards a scalable neuromorphic hardware for classification and prediction with stochastic No-Prop algorithms. - Dan Christiani; Cory E. Merkel; Dhireesha Kudithipudi (ISQED, 2016)

Neuromemristive Systems: Boosting Efficiency through Brain-Inspired Computing. - Cory E. Merkel; Raqibul Hasan; Nicholas Soures; Dhireesha Kudithipudi; Tarek M. Taha; Sapan Agarwal; Matthew J. Marinella (Computer, 2016)

Unsupervised Learning in Neuromemristive Systems. - Cory E. Merkel; Dhireesha Kudithipudi (CoRR, 2016)

Design of a time delay reservoir using stochastic logic: A feasibility study. - Cory E. Merkel (IJCNN, 2017)

Current-mode Memristor Crossbars for Neuromemristive Systems. - Cory E. Merkel (CoRR, 2017)

Stochastic CBRAM-Based Neuromorphic Time Series Prediction System. - Cory E. Merkel; Dhireesha Kudithipudi; Manan Suri; Bryant T. Wysocki (ACM J. Emerg. Technol. Comput. Syst., 2017)

An FPGA Implementation of a Time Delay Reservoir Using Stochastic Logic. - Lisa Loomis; Nathan McDonald; Cory E. Merkel (ACM J. Emerg. Technol. Comput. Syst., 2018)

A Segmented Attractor Network for Neuromorphic Associative Learning. - Alexander Jones 001; Rashmi Jha; Ajey P. Jacob; Cory E. Merkel (ICONS, 2019)

A Low-Power Domino Logic Architecture for Memristor-Based Neuromorphic Computing. - Cory E. Merkel; Animesh Nikam (ICONS, 2019)

Exploiting Randomness in Deep Learning Algorithms. - Hamed Fatemi Langroudi; Cory E. Merkel; Humza Syed; Dhireesha Kudithipudi (IJCNN, 2019)

Exploring Energy-Accuracy Tradeoffs in AI Hardware. - Cory E. Merkel (IGSC (Workshops), 2020)

Energy Constraints Improve Liquid State Machine Performance. - Andrew Fountain; Cory E. Merkel (ICONS, 2020)

A neuromorphic SLAM architecture using gated-memristive synapses. - Alexander Jones 001; Andrew Rush; Cory E. Merkel; Eric Herrmann; Ajey P. Jacob; Clare Thiem; Rashmi Jha (Neurocomputing, 2020)

On the Adversarial Robustness of Quantized Neural Networks. - Micah Gorsline; James Smith; Cory E. Merkel (ACM Great Lakes Symposium on VLSI, 2021)

Model Extraction and Adversarial Attacks on Neural Networks Using Switching Power Information. - Tommy Li; Cory E. Merkel (ICANN (1), 2021)

Accelerating the Training of Single Layer Binary Neural Networks using the HHL Quantum Algorithm. - Sonia Lopez Alarcon; Cory E. Merkel; Martin Hoffnagle; Sabrina Ly; Alejandro Pozas-Kerstjens (ICCD, 2022)

Circuit Optimization Techniques for Efficient Ex-Situ Training of Robust Memristor Based Liquid State Machine. - Alex Henderson; Chris Yakopcic; Steven Harbour; Tarek M. Taha; Cory E. Merkel; Hananel Hazan (NANOARCH, 2022)

Enhancing Adversarial Attacks on Single-Layer NVM Crossbar-Based Neural Networks with Power Consumption Information. - Cory E. Merkel (SOCC, 2022)

A Survey on Machine Learning Accelerators and Evolutionary Hardware Platforms. - Sathwika Bavikadi; Abhijitt Dhavlle; Amlan Ganguly; Anand Haridass; Hagar Hendy; Cory E. Merkel; Vijay Janapa Reddi; Purab Ranjan Sutradhar; Arun Joseph; Sai Manoj Pudukotai Dinakarrao (IEEE Des. Test, 2022)

Review of spike-based neuromorphic computing for brain-inspired vision: biology, algorithms, and hardware. - Hagar Hendy; Cory E. Merkel (J. Electronic Imaging, 2022)

Effect of biologically-motivated energy constraints on liquid state machine dynamics and classification performance. - Andrew Fountain; Cory E. Merkel (Neuromorph. Comput. Eng., 2022)

Exploiting Logic Locking for a Neural Trojan Attack on Machine Learning Accelerators. - Hongye Xu; Dongfang Liu; Cory E. Merkel; Michael Zuzak (ACM Great Lakes Symposium on VLSI, 2023)

A Bio-Inspired Computational Astrocyte Model for Spiking Neural Networks. - Jacob Kiggins; J. David Schaffer; Cory E. Merkel (IJCNN, 2023)

Synaptic Scaling and Optimal Bias Adjustments for Power Reduction in Neuromorphic Systems. - Cory E. Merkel (MWSCAS, 2023)

NCE focus issue: extreme edge computing. - Cory E. Merkel (Neuromorph. Comput. Eng., 2023)

Design Space Exploration of Memristor-based Delay Cells for Time-domain Neuromorphic Computing. - Hagar Hendy; Karsten Bergthold; Tejasvi Das; Cory E. Merkel (ISCAS, 2024)

Trustworthy and Robust Machine Learning for Multimedia: Challenges and Perspectives. - Katsuaki Nakano; Michael Zuzak; Cory E. Merkel; Alexander C. Loui (MIPR, 2024)

Throughput Optimization for Time-Domain Neuromorphic Computing. - Karsten Bergthold; Hagar Hendy; Cory E. Merkel; Tejasvi Das (MWSCAS, 2024)

Contrastive Learning in Memristor-Based Neuromorphic Systems. - Cory E. Merkel; Alexander G. Ororbia II (SiPS, 2024)

Power Analysis Attacks on NVM Crossbar-based Neuromorphic Systems. - Cory E. Merkel; Allen Su (Neural Process. Lett., 2025)

Depth-Based Matrix Classification for the HHL Quantum Algorithm. - Mark Danza; Sonia Lopez Alarcon; Cory E. Merkel (CoRR, 2025)

Enabling Long Chain Lengths and High-Throughput for Time-Domain Neuromorphic Computing. - Karsten Bergthold; Hagar Hendy; Elaine Greenfield; Cory E. Merkel; Tejasvi Das (IEEE Trans. Circuits Syst. II Express Briefs, 2025)