Cory E. Merkel

Orcid: 0000-0003-0252-7829

According to our database1, Cory E. Merkel authored at least 42 papers between 2011 and 2023.

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Bibliography

2023
NCE focus issue: extreme edge computing.
Neuromorph. Comput. Eng., September, 2023

Synaptic Scaling and Optimal Bias Adjustments for Power Reduction in Neuromorphic Systems.
Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

A Bio-Inspired Computational Astrocyte Model for Spiking Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2023

Exploiting Logic Locking for a Neural Trojan Attack on Machine Learning Accelerators.
Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

2022
Effect of biologically-motivated energy constraints on liquid state machine dynamics and classification performance.
Neuromorph. Comput. Eng., 2022

A Survey on Machine Learning Accelerators and Evolutionary Hardware Platforms.
IEEE Des. Test, 2022

Enhancing Adversarial Attacks on Single-Layer NVM Crossbar-Based Neural Networks with Power Consumption Information.
Proceedings of the 35th IEEE International System-on-Chip Conference, 2022

Circuit Optimization Techniques for Efficient Ex-Situ Training of Robust Memristor Based Liquid State Machine.
Proceedings of the 17th ACM International Symposium on Nanoscale Architectures, 2022

Accelerating the Training of Single Layer Binary Neural Networks using the HHL Quantum Algorithm.
Proceedings of the IEEE 40th International Conference on Computer Design, 2022

2021
Model Extraction and Adversarial Attacks on Neural Networks Using Switching Power Information.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

On the Adversarial Robustness of Quantized Neural Networks.
Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021

2020
A neuromorphic SLAM architecture using gated-memristive synapses.
Neurocomputing, 2020

Energy Constraints Improve Liquid State Machine Performance.
Proceedings of the International Conference on Neuromorphic Systems, 2020

Exploring Energy-Accuracy Tradeoffs in AI Hardware.
Proceedings of the 11th International Green and Sustainable Computing Workshops, 2020

2019
Exploiting Randomness in Deep Learning Algorithms.
Proceedings of the International Joint Conference on Neural Networks, 2019

A Low-Power Domino Logic Architecture for Memristor-Based Neuromorphic Computing.
Proceedings of the International Conference on Neuromorphic Systems, 2019

A Segmented Attractor Network for Neuromorphic Associative Learning.
Proceedings of the International Conference on Neuromorphic Systems, 2019

2018
An FPGA Implementation of a Time Delay Reservoir Using Stochastic Logic.
ACM J. Emerg. Technol. Comput. Syst., 2018

2017
Stochastic CBRAM-Based Neuromorphic Time Series Prediction System.
ACM J. Emerg. Technol. Comput. Syst., 2017

Current-mode Memristor Crossbars for Neuromemristive Systems.
CoRR, 2017

Design of a time delay reservoir using stochastic logic: A feasibility study.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Unsupervised Learning in Neuromemristive Systems.
CoRR, 2016

Neuromemristive Systems: Boosting Efficiency through Brain-Inspired Computing.
Computer, 2016

Invited: Towards a scalable neuromorphic hardware for classification and prediction with stochastic No-Prop algorithms.
Proceedings of the 17th International Symposium on Quality Electronic Design, 2016

A design of HTM spatial pooler for face recognition using memristor-CMOS hybrid circuits.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

2015
Comparison of Off-Chip Training Methods for Neuromemristive Systems.
Proceedings of the 28th International Conference on VLSI Design, 2015

Memristive computational architecture of an echo state network for real-time speech-emotion recognition.
Proceedings of the 2015 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2015

Design and analysis of neuromemristive echo state networks with limited-precision synapses.
Proceedings of the 2015 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2015

2014
Design of Neuromorphic Architectures with Memristors.
Proceedings of the Network Science and Cybersecurity, 2014

Temperature Sensing RRAM Architecture for 3-D ICs.
IEEE Trans. Very Large Scale Integr. Syst., 2014

A stochastic learning algorithm for neuromemristive systems.
Proceedings of the 27th IEEE International System-on-Chip Conference, 2014

On designing circuit primitives for cortical processors with memristive hardware.
Proceedings of the 27th IEEE International System-on-Chip Conference, 2014

Neuromemristive Extreme Learning Machines for Pattern Classification.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2014

A current-mode CMOS/memristor hybrid implementation of an extreme learning machine.
Proceedings of the Great Lakes Symposium on VLSI 2014, GLSVLSI '14, Houston, TX, USA - May 21, 2014

Memristive Reservoir Computing Architecture for Epileptic Seizure Detection.
Proceedings of the 5th Annual International Conference on Biologically Inspired Cognitive Architectures, 2014

2013
Memristor-Based Neural Logic Blocks for Nonlinearly Separable Functions.
IEEE Trans. Computers, 2013

Periodic activation functions in memristor-based analog neural networks.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Towards Thermal Profiling in CMOS/Memristor Hybrid RRAM Architectures.
Proceedings of the 25th International Conference on VLSI Design, 2012

Lightweight energy prediction framework for solar-powered wireless sensor networks.
Proceedings of the IEEE 25th International SOC Conference, 2012

RRAM-based adaptive neural logic block for implementing non-linearly separable functions in a single layer.
Proceedings of the 2012 IEEE/ACM International Symposium on Nanoscale Architectures, 2012

Design-time performance evaluation of thermal management policies for SRAM and RRAM based 3D MPSoCs.
Proceedings of the Great Lakes Symposium on VLSI 2012, 2012

2011
Reconfigurable N-level memristor memory design.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011


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