相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。An FPGA-based system for generalised electron devices testing
Patrick Foster et al.
SCIENTIFIC REPORTS (2022)
NeuroPack: An Algorithm-Level Python-Based Simulator for Memristor-Empowered Neuro-Inspired Computing
Jinqi Huang et al.
FRONTIERS IN NANOTECHNOLOGY (2022)
A Multifault-Tolerant Training Scheme for Nonideal Memristive Neural Networks
Yihong Chen et al.
ADVANCED INTELLIGENT SYSTEMS (2022)
A Rapid Spiking Neural Network Approach With an Application on Hand Gesture Recognition
Long Cheng et al.
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS (2021)
Fully hardware-implemented memristor convolutional neural network
Peng Yao et al.
NATURE (2020)
A solution to the learning dilemma for recurrent networks of spiking neurons
Guillaume Bellec et al.
NATURE COMMUNICATIONS (2020)
On-Chip Error-Triggered Learning of Multi-Layer Memristive Spiking Neural Networks
Melika Payvand et al.
IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS (2020)
Deep learning incorporating biologically inspired neural dynamics and in-memory computing
Stanislaw Wozniak et al.
NATURE MACHINE INTELLIGENCE (2020)
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures
Abhronil Sengupta et al.
FRONTIERS IN NEUROSCIENCE (2019)
Biological Neuron Coding Inspired Binary Word Embeddings
Yuwei Wang et al.
COGNITIVE COMPUTATION (2019)
Unsupervised Learning on Resistive Memory Array Based Spiking Neural Networks
Yilong Guo et al.
FRONTIERS IN NEUROSCIENCE (2019)
All WSe2 1T1R resistive RAM cell for future monolithic 3D embedded memory integration
Maheswari Sivan et al.
NATURE COMMUNICATIONS (2019)
Handling Stuck-at-faults in Memristor Crossbar Arrays using Matrix Transformations
Baogang Zhang et al.
24TH ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE (ASP-DAC 2019) (2019)
MNSIM: Simulation Platform for Memristor-Based Neuromorphic Computing System
Lixue Xia et al.
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS (2018)
Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
Mike Davies et al.
IEEE MICRO (2018)
NeuroSim: A Circuit-Level Macro Model for Benchmarking Neuro-Inspired Architectures in Online Learning
Pai-Yu Chen et al.
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS (2018)
Equivalent-accuracy accelerated neural-network training using analogue memory
Stefano Ambrogio et al.
NATURE (2018)
Neuromorphic computing with multi-memristive synapses
Irem Boybat et al.
NATURE COMMUNICATIONS (2018)
A Survey of Robotics Control Based on Learning-Inspired Spiking Neural Networks
Zhenshan Bing et al.
FRONTIERS IN NEUROROBOTICS (2018)
CONE: Convex-Optimized-Synaptic Efficacies for Temporally Precise Spike Mapping
Wang Wei Lee et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2017)
Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification
Bodo Rueckauer et al.
FRONTIERS IN NEUROSCIENCE (2017)
Multibit memory operation of metal-oxide bi-layer memristors
Spyros Stathopoulos et al.
SCIENTIFIC REPORTS (2017)
In-Datacenter Performance Analysis of a Tensor Processing Unit
Norman P. Jouppi et al.
44TH ANNUAL INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE (ISCA 2017) (2017)
High-Speed and Low-Energy Nitride Memristors
Byung Joon Choi et al.
ADVANCED FUNCTIONAL MATERIALS (2016)
Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses
Alexander Serb et al.
NATURE COMMUNICATIONS (2016)
Recurrent Spiking Networks Solve Planning Tasks
Elmar Rueckert et al.
SCIENTIFIC REPORTS (2016)
Analog Memristive Synapse in Spiking Networks Implementing Unsupervised Learning
Erika Covi et al.
FRONTIERS IN NEUROSCIENCE (2016)
High Density Crossbar Arrays with Sub-15 nm Single Cells via Liftoff Process Only
Ali Khiat et al.
SCIENTIFIC REPORTS (2016)
True North: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip
Filipp Akopyan et al.
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS (2015)
A μ-Controller-Based System for Interfacing Selectorless RRAM Crossbar Arrays
Radu Berdan et al.
IEEE TRANSACTIONS ON ELECTRON DEVICES (2015)
Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition
Yongqiang Cao et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2015)
Reconfigurable Neuromorphic Computing System with Memristor-Based Synapse Design
Beiye Liu et al.
NEURAL PROCESSING LETTERS (2015)
Minitaur, an Event-Driven FPGA-Based Spiking Network Accelerator
Daniel Neil et al.
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS (2014)
Mobile robots' modular navigation controller using spiking neural networks
Xiuqing Wang et al.
NEUROCOMPUTING (2014)
Financial Time Series Prediction Using Spiking Neural Networks
David Reid et al.
PLOS ONE (2014)
Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations
Ben Varkey Benjamin et al.
PROCEEDINGS OF THE IEEE (2014)
SpiNNaker: A 1-W 18-Core System-on-Chip for Massively-Parallel Neural Network Simulation
Eustace Painkras et al.
IEEE JOURNAL OF SOLID-STATE CIRCUITS (2013)
Real-time classification and sensor fusion with a spiking deep belief network
Peter O'Connor et al.
FRONTIERS IN NEUROSCIENCE (2013)
A 32 GBit/s communication SoC for a waferscale neuromorphic system
Stefan Scholze et al.
INTEGRATION-THE VLSI JOURNAL (2012)
A new supervised learning algorithm for multiple spiking neural networks with application in epilepsy and seizure detection
Samanwoy Ghosh-Dastidar et al.
NEURAL NETWORKS (2009)
Implementing spiking neural networks for real-time signal-processing and control applications: A model-validated FPGA approach
Martin J. Pearson et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2007)
Population coding and decoding in a neural field: A computational study
S Wu et al.
NEURAL COMPUTATION (2002)