Abstract is missing.
- Analog Neurons that Signal with Spiking FrequenciesKun Yue, Xiaoyu Wang, Jay Jadav, Akshay Vartak, Alice C. Parker. [doi]
- Constraints on sequence processing speed in biological neuronal networksYounes Bouhadjar, Markus Diesmann, Rainer Waser, Dirk J. Wouters, Tom Tetzlaff. [doi]
- Composing neural algorithms with FuguJames B. Aimone, William Severa, Craig M. Vineyard. [doi]
- Graph Partitioning as Quadratic Unconstrained Binary Optimization (QUBO) on Spiking Neuromorphic HardwareSusan M. Mniszewski. [doi]
- Benchmarking Event-Driven Neuromorphic ArchitecturesCraig M. Vineyard, Sam Green, William M. Severa, Çetin Kaya Koç. [doi]
- Design and Analysis of Real Time Spiking Neural Network Decoder for Neuromorphic ChipsChenyuan Zhao, Lingjia Liu, Yang Yi 0002. [doi]
- Fabrication and Performance of Hybrid ReRAM-CMOS Circuit Elements for Dynamic Neural NetworksMaximilian Liehr, Jubin Hazra, Karsten Beckmann, Wilkie Olin-Ammentorp, Nathaniel C. Cady, Ryan Weiss, Sagarvarma Sayyaparaju, Garrett S. Rose, Joseph Van Nostrand. [doi]
- Feature Extraction using Spiking Convolutional Neural NetworksRuthvik Vaila, John Chiasson, Vishal Saxena. [doi]
- Neuromorphic Architecture Optimization for Task-Specific Dynamic LearningSandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash. [doi]
- Dynamic Programming with Spiking Neural ComputingJames B. Aimone, Ojas Parekh, Cynthia A. Phillips, Ali Pinar, William Severa, Helen Xu. [doi]
- Unsupervised Dictionary Learning via a Spiking Locally Competitive AlgorithmYijing Watkins, Austin Thresher, Peter F. Schultz, Andreas Wild, Andrew Sornborger, Garrett T. Kenyon. [doi]
- MLP+NeuroSimV3.0: Improving On-chip Learning Performance with Device to Algorithm OptimizationsYandong Luo, Xiaochen Peng, Shimeng Yu. [doi]
- A Neuromorphic Sparse Coding Defense to Adversarial ImagesEdward Kim, Jessica Yarnall, Priya Shah, Garrett T. Kenyon. [doi]
- Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent DropoutNathan Wycoff, Prasanna Balaprakash, Fangfang Xia. [doi]
- Training Spiking Networks via Natural Evolution StrategiesWilkie Olin-Ammentorp, Nathaniel C. Cady. [doi]
- A Segmented Attractor Network for Neuromorphic Associative LearningAlexander Jones, Rashmi Jha, Ajey P. Jacob, Cory E. Merkel. [doi]
- Approximating Back-propagation for a Biologically Plausible Local Learning Rule in Spiking Neural NetworksAmar Shrestha, Haowen Fang, Qing Wu, Qinru Qiu. [doi]
- Learning Behavior of Memristor-Based Neuromorphic Circuits in the Presence of RadiationSumedha Gandharava Dahl, Robert C. Ivans, Kurtis D. Cantley. [doi]
- Approximate Pattern Matching using Hierarchical Graph Construction and Sparse Distributed RepresentationAakanksha Mathuria, Dan W. Hammerstrom. [doi]
- A Low-Power Domino Logic Architecture for Memristor-Based Neuromorphic ComputingCory E. Merkel, Animesh Nikam. [doi]
- Memristor Based Autoencoder for Unsupervised Real-Time Network Intrusion and Anomaly DetectionMd. Shahanur Alam, B. Rasitha Fernando, Yassine Jaoudi, Chris Yakopcic, Raqibul Hasan, Tarek M. Taha, Guru Subramanyam. [doi]