Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning
出版年份 2018 全文链接
标题
Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning
作者
关键词
-
出版物
Frontiers in Neuroscience
Volume 12, Issue -, Pages -
出版商
Frontiers Media SA
发表日期
2018-08-29
DOI
10.3389/fnins.2018.00583
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
- (2018) Mike Davies et al. IEEE MICRO
- Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System
- (2017) Simon Friedmann et al. IEEE Transactions on Biomedical Circuits and Systems
- Supervised Learning Based on Temporal Coding in Spiking Neural Networks
- (2017) Hesham Mostafa IEEE Transactions on Neural Networks and Learning Systems
- Hierarchical Address Event Routing for Reconfigurable Large-Scale Neuromorphic Systems
- (2017) Jongkil Park et al. IEEE Transactions on Neural Networks and Learning Systems
- Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
- (2017) Emre O. Neftci et al. Frontiers in Neuroscience
- Obstacle Avoidance and Target Acquisition for Robot Navigation Using a Mixed Signal Analog/Digital Neuromorphic Processing System
- (2017) Moritz B. Milde et al. Frontiers in Neurorobotics
- Stochasticity Modeling in Memristors
- (2016) Rawan Naous et al. IEEE TRANSACTIONS ON NANOTECHNOLOGY
- Convolutional networks for fast, energy-efficient neuromorphic computing
- (2016) Steven K. Esser et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Random synaptic feedback weights support error backpropagation for deep learning
- (2016) Timothy P. Lillicrap et al. Nature Communications
- Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines
- (2016) Emre O. Neftci et al. Frontiers in Neuroscience
- Programmable Spike-Timing-Dependent Plasticity Learning Circuits in Neuromorphic VLSI Architectures
- (2015) Mostafa Rahimi Azghadi et al. ACM Journal on Emerging Technologies in Computing Systems
- STICK: Spike Time Interval Computational Kernel, a Framework for General Purpose Computation Using Neurons, Precise Timing, Delays, and Synchrony
- (2015) Xavier Lagorce et al. NEURAL COMPUTATION
- Bioinspired Programming of Memory Devices for Implementing an Inference Engine
- (2015) Damien Querlioz et al. PROCEEDINGS OF THE IEEE
- Memory and Information Processing in Neuromorphic Systems
- (2015) Giacomo Indiveri et al. PROCEEDINGS OF THE IEEE
- 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
- Implementation of a spike-based perceptron learning rule using TiO2−x memristors
- (2015) Hesham Mostafa et al. Frontiers in Neuroscience
- A framework for plasticity implementation on the SpiNNaker neural architecture
- (2015) Francesco Galluppi 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
- A 240 × 180 130 dB 3 µs Latency Global Shutter Spatiotemporal Vision Sensor
- (2014) Christian Brandli et al. IEEE JOURNAL OF SOLID-STATE CIRCUITS
- Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition
- (2014) Yongqiang Cao et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Learning by the Dendritic Prediction of Somatic Spiking
- (2014) Robert Urbanczik et al. NEURON
- Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations
- (2014) Ben Varkey Benjamin et al. PROCEEDINGS OF THE IEEE
- The SpiNNaker Project
- (2014) Steve B. Furber et al. PROCEEDINGS OF THE IEEE
- Spike-Based Synaptic Plasticity in Silicon: Design, Implementation, Application, and Challenges
- (2014) Mostafa Rahimi Azghadi 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
- Poisson-Like Spiking in Circuits with Probabilistic Synapses
- (2014) Rubén Moreno-Bote PLoS Computational Biology
- PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems
- (2014) Fabio Stefanini et al. Frontiers in Neuroinformatics
- Limits to high-speed simulations of spiking neural networks using general-purpose computers
- (2014) Friedemann Zenke et al. Frontiers in Neuroinformatics
- Event-driven contrastive divergence for spiking neuromorphic systems
- (2014) Emre Neftci et al. Frontiers in Neuroscience
- Dynamic neural fields as a step toward cognitive neuromorphic architectures
- (2014) Yulia Sandamirskaya Frontiers in Neuroscience
- Asymmetry in neural fields: a spatiotemporal encoding mechanism
- (2013) Mauricio Cerda et al. BIOLOGICAL CYBERNETICS
- Synthesizing cognition in neuromorphic electronic systems
- (2013) E. Neftci et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Calcium-based plasticity model explains sensitivity of synaptic changes to spike pattern, rate, and dendritic location
- (2012) M. Graupner et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- A Large-Scale Model of the Functioning Brain
- (2012) C. Eliasmith et al. SCIENCE
- Spatiotemporal dynamics of continuum neural fields
- (2011) Paul C Bressloff Journal of Physics A-Mathematical and Theoretical
- Neuromorphic sensory systems
- (2010) Shih-Chii Liu et al. CURRENT OPINION IN NEUROBIOLOGY
- Connectivity reflects coding: a model of voltage-based STDP with homeostasis
- (2010) Claudia Clopath et al. NATURE NEUROSCIENCE
- Weak Noise in Neurons May Powerfully Inhibit the Generation of Repetitive Spiking but Not Its Propagation
- (2010) Henry C. Tuckwell et al. PLoS Computational Biology
- A Generalized Linear Integrate-and-Fire Neural Model Produces Diverse Spiking Behaviors
- (2008) Ştefan Mihalaş et al. NEURAL COMPUTATION
- Dendritic Excitability and Synaptic Plasticity
- (2008) P. Jesper Sjöström et al. PHYSIOLOGICAL REVIEWS
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