Abstract is missing.
- Implementation of a 12-Million Hodgkin-Huxley Neuron Network on a Single ChipByungik Ahn. [doi]
- Spike-based graph centrality measuresKathleen E. Hamilton, Tiffany M. Mintz, Prasanna Date, Catherine D. Schuman. [doi]
- Modeling epidemic spread with spike-based modelsKathleen E. Hamilton, Prasanna Date, Bill Kay, Catherine D. Schuman. [doi]
- Design of a Conventional-Transistor-Based Analog Integrated Circuit for On-Chip Learning in a Spiking Neural NetworkShikhar Tuli, Debanjan Bhowmik. [doi]
- Energy Constraints Improve Liquid State Machine PerformanceAndrew Fountain, Cory E. Merkel. [doi]
- Quantizing Spiking Neural Networks with IntegersClemens J. S. Schaefer, Siddharth Joshi. [doi]
- Learning Spiking Neural Network Models of Drosophila OlfactionJohn Carter, Jocelyn Rego, Daniel Schwartz, Vikas Bhandawat, Edward Kim. [doi]
- Continuous Learning in a Single-Incremental-Task Scenario with Spike FeaturesRuthvik Vaila, John Chiasson, Vishal Saxena. [doi]
- Interception from a Dragonfly Neural Network ModelFrances S. Chance. [doi]
- Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural NetworksBojian Yin, Federico Corradi, Sander M. Bohté. [doi]
- Spurious learning in networks with Spike Driven Synaptic PlasticityAdithya Gurunathan, Laxmi R. Iyer. [doi]
- Effective Pruning of Binary Activation Neural NetworksWilliam Severa, Ryan Dellana, Craig M. Vineyard. [doi]
- Reduction of the Weight-Decay Rate of Volatile Memory Synapses in an Analog Hardware Neural Network for Accurate and Scalable On-Chip LearningJanak Sharda, Nilabjo Dey, Ankesh Jain, Debanjan Bhowmik. [doi]
- Neuromorphic Circuits With Neural Modulation Enhancing the Information Content of Neural SignalingRami A. Alzahrani, Alice C. Parker. [doi]
- Long Short-Term Memory Spiking Networks and Their ApplicationsAli Lotfi-Rezaabad, Sriram Vishwanath. [doi]
- Recurrent and Spiking Modeling of Sparse Surgical KinematicsNeil Getty, Zixuan Zhao, Stephan Gruessner, Liaohai Chen, Fangfang Xia. [doi]
- Associative Memory in Spiking Neural Network Form Implemented on Neuromorphic HardwareMichael Hampo, David Fan, Todd Jenkins, Ashley DeMange, Stefan Westberg, Trevor Bihl, Tarek M. Taha. [doi]
- Building Reservoir Computing Hardware Using Low Energy-Barrier MagneticsSamiran Ganguly, Avik W. Ghosh. [doi]
- Neuroevolution of Spiking Neural Networks Using Compositional Pattern Producing NetworksDaniel Elbrecht, Catherine Schuman. [doi]
- Layer-skipping connections facilitate training of layered networks using equilibrium propagationJimmy Gammell, Sae Woo Nam, Adam N. McCaughan. [doi]
- An Astrocyte-Modulated Neuromorphic Central Pattern Generator for Hexapod Robot Locomotion on Intel's LoihiIoannis Polykretis, Guangzhi Tang, Konstantinos P. Michmizos. [doi]
- A Small, Low Cost Event-Driven Architecture for Spiking Neural Networks on FPGAsJ. Parker Mitchell, Catherine D. Schuman, Thomas E. Potok. [doi]
- Batch Training for Neuromorphic Systems with Device Non-idealitiesYutong Gao, Shang Wu, Gina C. Adam. [doi]
- Coarse scale representation of spiking neural networks: backpropagation through spikes and application to neuromorphic hardwareAngel Yanguas-Gil. [doi]
- Memristor Based Neuromorphic Adaptive Resonance Theory for One-Shot Online Learning and Network Intrusion DetectionMd. Shahanur Alam, Chris Yakopcic, Guru Subramanyam, Tarek M. Taha. [doi]
- A 1.52 pJ/Spike Reconfigurable Multimodal Integrate-and-Fire Neuron Array TransceiverRajkumar Kubendran, Weier Wan, Siddharth Joshi, H.-S. Philip Wong, Gert Cauwenberghs. [doi]
- NCPower: Power Modelling for NVM-based Neuromorphic ChipZhehui Wang, Huaipeng Zhang, Tao Luo, Weng-Fai Wong, Anh-Tuan Do, Paramasivam Vishnu, Wei Zhang, Rick Siow Mong Goh. [doi]
- Solving a steady-state PDE using spiking networks and neuromorphic hardwareJ. Darby Smith, William Severa, Aaron J. Hill, Leah Reeder, Brian Franke, Richard B. Lehoucq, Ojas D. Parekh, James B. Aimone. [doi]