标题
Towards spike-based machine intelligence with neuromorphic computing
作者
关键词
-
出版物
NATURE
Volume 575, Issue 7784, Pages 607-617
出版商
Springer Science and Business Media LLC
发表日期
2019-11-28
DOI
10.1038/s41586-019-1677-2
参考文献
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。- Going Deeper in Spiking Neural Networks: VGG and Residual Architectures
- (2019) Abhronil Sengupta et al. Frontiers in Neuroscience
- A 4 + 2T SRAM for Searching and In-Memory Computing With 0.3-V $V_{\mathrm {DDmin}}$
- (2018) Qing Dong et al. IEEE JOURNAL OF SOLID-STATE CIRCUITS
- Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
- (2018) Mike Davies et al. IEEE MICRO
- X-SRAM: Enabling In-Memory Boolean Computations in CMOS Static Random Access Memories
- (2018) Amogh Agrawal et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
- Computing in Memory With Spin-Transfer Torque Magnetic RAM
- (2018) Shubham Jain et al. IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS
- STDP-based spiking deep convolutional neural networks for object recognition
- (2018) Saeed Reza Kheradpisheh et al. NEURAL NETWORKS
- A Variation-Tolerant In-Memory Machine Learning Classifier via On-Chip Training
- (2018) Sujan K. Gonugondla et al. IEEE JOURNAL OF SOLID-STATE CIRCUITS
- Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-Tuning
- (2018) Chankyu Lee et al. Frontiers in Neuroscience
- Deep Supervised Learning Using Local Errors
- (2018) Hesham Mostafa et al. Frontiers in Neuroscience
- Deep Learning With Spiking Neurons: Opportunities and Challenges
- (2018) Michael Pfeiffer et al. Frontiers in Neuroscience
- Mastering the game of Go without human knowledge
- (2017) David Silver et al. NATURE
- Sparse coding with memristor networks
- (2017) Patrick M. Sheridan et al. Nature Nanotechnology
- Temporal correlation detection using computational phase-change memory
- (2017) Abu Sebastian et al. Nature Communications
- High-Performance Mixed-Signal Neurocomputing With Nanoscale Floating-Gate Memory Cell Arrays
- (2017) Farnood Merrikh-Bayat et al. IEEE Transactions on Neural Networks and Learning Systems
- An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks
- (2017) Subhrajit Roy et al. IEEE Transactions on Neural Networks and Learning Systems
- Encoding neural and synaptic functionalities in electron spin: A pathway to efficient neuromorphic computing
- (2017) Abhronil Sengupta et al. Applied Physics Reviews
- Learning to Generate Sequences with Combination of Hebbian and Non-hebbian Plasticity in Recurrent Spiking Neural Networks
- (2017) Priyadarshini Panda et al. Frontiers in Neuroscience
- An Event-Driven Classifier for Spiking Neural Networks Fed with Synthetic or Dynamic Vision Sensor Data
- (2017) Evangelos Stromatias et al. Frontiers in Neuroscience
- Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
- (2017) Emre O. Neftci et al. Frontiers in Neuroscience
- Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification
- (2017) Bodo Rueckauer et al. Frontiers in Neuroscience
- Large-scale neuromorphic computing systems
- (2016) Steve Furber Journal of Neural Engineering
- The chips are down for Moore’s law
- (2016) M. Mitchell Waldrop NATURE
- Stochastic phase-change neurons
- (2016) Tomas Tuma et al. Nature Nanotechnology
- A Review of Current Neuromorphic Approaches for Vision, Auditory, and Olfactory Sensors
- (2016) Anup Vanarse et al. Frontiers in Neuroscience
- A Dataset for Visual Navigation with Neuromorphic Methods
- (2016) Francisco Barranco et al. Frontiers in Neuroscience
- Recent Progress in Phase-Change_newline Memory Technology
- (2016) Geoffrey W. Burr et al. IEEE Journal on Emerging and Selected Topics in Circuits and Systems
- Spin-Transfer Torque Magnetic Memory as a Stochastic Memristive Synapse for Neuromorphic Systems
- (2015) Adrien F. Vincent et al. IEEE Transactions on Biomedical Circuits and Systems
- HFirst: A Temporal Approach to Object Recognition
- (2015) Garrick Orchard et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Training and operation of an integrated neuromorphic network based on metal-oxide memristors
- (2015) M. Prezioso et al. NATURE
- Memory leads the way to better computing
- (2015) H.-S. Philip Wong et al. Nature Nanotechnology
- Unsupervised learning of digit recognition using spike-timing-dependent plasticity
- (2015) Peter U. Diehl et al. Frontiers in Computational Neuroscience
- Robustness of spiking Deep Belief Networks to noise and reduced bit precision of neuro-inspired hardware platforms
- (2015) Evangelos Stromatias et al. Frontiers in Neuroscience
- A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses
- (2015) Ning Qiao et al. Frontiers in Neuroscience
- Spin dice: A scalable truly random number generator based on spintronics
- (2014) Akio Fukushima et al. Applied Physics Express
- Neural Networks and Neuroscience-Inspired Computer Vision
- (2014) David Daniel Cox et al. CURRENT BIOLOGY
- Statistical Fluctuations in HfOx Resistive-Switching Memory: Part I - Set/Reset Variability
- (2014) Stefano Ambrogio et al. IEEE TRANSACTIONS ON ELECTRON DEVICES
- Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition
- (2014) Yongqiang Cao et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations
- (2014) Ben Varkey Benjamin et al. PROCEEDINGS OF THE IEEE
- A million spiking-neuron integrated circuit with a scalable communication network and interface
- (2014) P. A. Merolla et al. SCIENCE
- Event-driven contrastive divergence for spiking neuromorphic systems
- (2014) Emre Neftci et al. Frontiers in Neuroscience
- Mapping from Frame-Driven to Frame-Free Event-Driven Vision Systems by Low-Rate Rate Coding and Coincidence Processing--Application to Feedforward ConvNets
- (2013) J. A. Perez-Carrasco et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Vision meets robotics: The KITTI dataset
- (2013) A Geiger et al. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
- STDP and STDP variations with memristors for spiking neuromorphic learning systems
- (2013) T. Serrano-Gotarredona et al. Frontiers in Neuroscience
- Finding a roadmap to achieve large neuromorphic hardware systems
- (2013) Jennifer Hasler et al. Frontiers in Neuroscience
- The Memristive Magnetic Tunnel Junction as a Nanoscopic Synapse-Neuron System
- (2012) Patryk Krzysteczko et al. ADVANCED MATERIALS
- Exploring Flow, Factors, and Outcomes of Temporal Event Sequences with the Outflow Visualization
- (2012) K. Wongsuphasawat et al. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
- High precision tuning of state for memristive devices by adaptable variation-tolerant algorithm
- (2012) Fabien Alibart et al. NANOTECHNOLOGY
- The economy of brain network organization
- (2012) Ed Bullmore et al. NATURE REVIEWS NEUROSCIENCE
- Arithmetic and Biologically-Inspired Computing Using Phase-Change Materials
- (2011) C. David Wright et al. ADVANCED MATERIALS
- Floating Gate Synapses With Spike-Time-Dependent Plasticity
- (2011) Shubha Ramakrishnan et al. IEEE Transactions on Biomedical Circuits and Systems
- Nanoelectronic Programmable Synapses Based on Phase Change Materials for Brain-Inspired Computing
- (2011) Duygu Kuzum et al. NANO LETTERS
- Asynchronous frameless event-based optical flow
- (2011) Ryad Benosman et al. NEURAL NETWORKS
- Asynchronous Event-Based Binocular Stereo Matching
- (2011) P. Rogister et al. IEEE Transactions on Neural Networks and Learning Systems
- Neuromorphic sensory systems
- (2010) Shih-Chii Liu et al. CURRENT OPINION IN NEUROBIOLOGY
- ‘Memristive’ switches enable ‘stateful’ logic operations via material implication
- (2010) Julien Borghetti et al. NATURE
- Redox-Based Resistive Switching Memories - Nanoionic Mechanisms, Prospects, and Challenges
- (2009) Rainer Waser et al. ADVANCED MATERIALS
- An electrically modifiable synapse array of resistive switching memory
- (2009) Hyejung Choi et al. NANOTECHNOLOGY
- Competitive STDP-Based Spike Pattern Learning
- (2009) Timothée Masquelier et al. NEURAL COMPUTATION
- Supervised Learning in Spiking Neural Networks with ReSuMe: Sequence Learning, Classification, and Spike Shifting
- (2009) Filip Ponulak et al. NEURAL COMPUTATION
- A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors
- (2009) Jayram Moorkanikara Nageswaran et al. NEURAL NETWORKS
- A new supervised learning algorithm for multiple spiking neural networks with application in epilepsy and seizure detection
- (2009) Samanwoy Ghosh-Dastidar et al. NEURAL NETWORKS
- Stochastic dynamics as a principle of brain function
- (2009) Gustavo Deco et al. PROGRESS IN NEUROBIOLOGY
- Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail
- (2009) Eleni Vasilaki et al. PLoS Computational Biology
- A 128$\times$128 120 dB 15 $\mu$s Latency Asynchronous Temporal Contrast Vision Sensor
- (2008) Patrick Lichtsteiner et al. IEEE JOURNAL OF SOLID-STATE CIRCUITS
- The missing memristor found
- (2008) Dmitri B. Strukov et al. NATURE
- Compact hardware liquid state machines on FPGA for real-time speech recognition
- (2007) Benjamin Schrauwen et al. NEURAL NETWORKS
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