标题
A recipe for creating ideal hybrid memristive-CMOS neuromorphic processing systems
作者
关键词
-
出版物
APPLIED PHYSICS LETTERS
Volume 116, Issue 12, Pages 120501
出版商
AIP Publishing
发表日期
2020-03-24
DOI
10.1063/1.5142089
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。- Bienenstock, Cooper, and Munro Learning Rules Realized in Second-Order Memristors with Tunable Forgetting Rate
- (2019) Jue Xiong et al. ADVANCED FUNCTIONAL MATERIALS
- Memristive crossbar arrays for brain-inspired computing
- (2019) Qiangfei Xia et al. NATURE MATERIALS
- Low‐Conductance and Multilevel CMOS‐Integrated Nanoscale Oxide Memristors
- (2019) Xia Sheng et al. Advanced Electronic Materials
- Computational phase-change memory: Beyond von Neumann computing
- (2019) Abu Sebastian et al. JOURNAL OF PHYSICS D-APPLIED PHYSICS
- Recent Advances in Transistor‐Based Artificial Synapses
- (2019) Shilei Dai et al. ADVANCED FUNCTIONAL MATERIALS
- The Importance of Space and Time for Signal Processing in Neuromorphic Agents: The Challenge of Developing Low-Power, Autonomous Agents That Interact With the Environment
- (2019) Giacomo Indiveri et al. IEEE SIGNAL PROCESSING MAGAZINE
- Real-Time Ultra-Low Power ECG Anomaly Detection Using an Event-Driven Neuromorphic Processor
- (2019) Felix Christian Bauer et al. IEEE Transactions on Biomedical Circuits and Systems
- A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: From mitigation to exploitation
- (2018) Melika Payvand et al. FARADAY DISCUSSIONS
- Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
- (2018) Mike Davies et al. IEEE MICRO
- A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs)
- (2018) Saber Moradi et al. IEEE Transactions on Biomedical Circuits and Systems
- Equivalent-accuracy accelerated neural-network training using analogue memory
- (2018) Stefano Ambrogio et al. NATURE
- A Unifying Framework of Synaptic and Intrinsic Plasticity in Neural Populations
- (2018) Johannes Leugering et al. NEURAL COMPUTATION
- Unsupervised heart-rate estimation in wearables with Liquid states and a probabilistic readout
- (2018) Anup Das et al. NEURAL NETWORKS
- Neuromorphic computing with multi-memristive synapses
- (2018) Irem Boybat et al. Nature Communications
- An artificial nociceptor based on a diffusive memristor
- (2018) Jung Ho Yoon et al. Nature Communications
- Evidence of soft bound behaviour in analogue memristive devices for neuromorphic computing
- (2018) Jacopo Frascaroli et al. Scientific Reports
- A memristive plasticity model of voltage-based STDP suitable for recurrent bidirectional neural networks in the hippocampus
- (2018) Nick Diederich et al. Scientific Reports
- A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: From mitigation to exploitation
- (2018) Melika Payvand et al. FARADAY DISCUSSIONS
- Review of memristor devices in neuromorphic computing: materials sciences and device challenges
- (2018) Yibo Li et al. JOURNAL OF PHYSICS D-APPLIED PHYSICS
- Extended memory lifetime in spiking neural networks employing memristive synapses with nonlinear conductance dynamics
- (2018) S Brivio et al. NANOTECHNOLOGY
- Memristor crossbar arrays with 6-nm half-pitch and 2-nm critical dimension
- (2018) Shuang Pi et al. Nature Nanotechnology
- Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain
- (2018) Chetan Singh Thakur et al. Frontiers in Neuroscience
- On Practical Issues for Stochastic STDP Hardware With 1-bit Synaptic Weights
- (2018) Amirreza Yousefzadeh et al. Frontiers in Neuroscience
- Emulating Short-Term and Long-Term Plasticity of Bio-Synapse Based on Cu/a-Si/Pt Memristor
- (2017) Xumeng Zhang et al. IEEE ELECTRON DEVICE LETTERS
- An Ultralow Leakage Synaptic Scaling Homeostatic Plasticity Circuit With Configurable Time Scales up to 100 ks
- (2017) Ning Qiao et al. IEEE Transactions on Biomedical Circuits and Systems
- Improvement of SET variability in TaO x based resistive RAM devices
- (2017) Alexander Schönhals et al. NANOTECHNOLOGY
- Battery-like artificial synapses
- (2017) J. Joshua Yang et al. NATURE MATERIALS
- Neuromorphic Learning and Recognition With One-Transistor-One-Resistor Synapses and Bistable Metal Oxide RRAM
- (2016) Stefano Ambrogio et al. IEEE TRANSACTIONS ON ELECTRON DEVICES
- Physical Unbiased Generation of Random Numbers With Coupled Resistive Switching Devices
- (2016) Simone Balatti et al. IEEE TRANSACTIONS ON ELECTRON DEVICES
- Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing
- (2016) Zhongrui Wang et al. NATURE MATERIALS
- Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines
- (2016) Emre O. Neftci et al. Frontiers in Neuroscience
- Analog Memristive Synapse in Spiking Networks Implementing Unsupervised Learning
- (2016) Erika Covi et al. Frontiers in Neuroscience
- Emulating short-term synaptic dynamics with memristive devices
- (2016) Radu Berdan et al. Scientific Reports
- Resistance controllability and variability improvement in a TaOx-based resistive memory for multilevel storage application
- (2015) A. Prakash et al. APPLIED PHYSICS LETTERS
- TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip
- (2015) Filipp Akopyan et al. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
- Exploiting Intrinsic Variability of Filamentary Resistive Memory for Extreme Learning Machine Architectures
- (2015) Manan Suri et al. IEEE TRANSACTIONS ON NANOTECHNOLOGY
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- Memory and Information Processing in Neuromorphic Systems
- (2015) Giacomo Indiveri et al. PROCEEDINGS OF THE IEEE
- Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks
- (2015) Friedemann Zenke et al. Nature Communications
- Memristors Empower Spiking Neurons With Stochasticity
- (2015) Maruan Al-Shedivat et al. IEEE Journal on Emerging and Selected Topics in Circuits and Systems
- The SpiNNaker Project
- (2014) Steve B. Furber et al. PROCEEDINGS OF THE IEEE
- Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems
- (2014) Elisabetta Chicca 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
- A compound memristive synapse model for statistical learning through STDP in spiking neural networks
- (2014) Johannes Bill et al. Frontiers in Neuroscience
- Bio-Inspired Stochastic Computing Using Binary CBRAM Synapses
- (2013) Manan Suri et al. IEEE TRANSACTIONS ON ELECTRON DEVICES
- Stochastic memristive devices for computing and neuromorphic applications
- (2013) Siddharth Gaba et al. Nanoscale
- Integration of nanoscale memristor synapses in neuromorphic computing architectures
- (2013) Giacomo Indiveri et al. NANOTECHNOLOGY
- Stochastic Computations in Cortical Microcircuit Models
- (2013) Stefan Habenschuss et al. PLoS Computational Biology
- Memristive devices for computing
- (2012) J. Joshua Yang et al. Nature Nanotechnology
- Short-term plasticity and long-term potentiation mimicked in single inorganic synapses
- (2011) Takeo Ohno et al. NATURE MATERIALS
- Nanoscale Memristor Device as Synapse in Neuromorphic Systems
- (2010) Sung Hyun Jo et al. NANO LETTERS
- Memory traces in dynamical systems
- (2008) S. Ganguli et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now