Analog high resistance bilayer RRAM device for hardware acceleration of neuromorphic computation
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Analog high resistance bilayer RRAM device for hardware acceleration of neuromorphic computation
Authors
Keywords
-
Journal
JOURNAL OF APPLIED PHYSICS
Volume 124, Issue 20, Pages 202101
Publisher
AIP Publishing
Online
2018-11-28
DOI
10.1063/1.5042432
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Mitigating Asymmetric Nonlinear Weight Update Effects in Hardware Neural Network Based on Analog Resistive Synapse
- (2018) Chih-Cheng Chang et al. IEEE Journal on Emerging and Selected Topics in Circuits and Systems
- Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator
- (2018) Matthew J. Marinella et al. IEEE Journal on Emerging and Selected Topics in Circuits and Systems
- A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing
- (2017) Yoeri van de Burgt et al. NATURE MATERIALS
- Li-Ion Synaptic Transistor for Low Power Analog Computing
- (2016) Elliot J. Fuller et al. ADVANCED MATERIALS
- Energy Scaling Advantages of Resistive Memory Crossbar Based Computation and Its Application to Sparse Coding
- (2016) Sapan Agarwal et al. Frontiers in Neuroscience
- Circuit-Level Benchmarking of Access Devices for Resistive Nonvolatile Memory Arrays
- (2016) Pritish Narayanan et al. IEEE Journal on Emerging and Selected Topics in Circuits and Systems
- Noise-Induced Resistance Broadening in Resistive Switching Memory—Part II: Array Statistics
- (2015) Stefano Ambrogio et al. IEEE TRANSACTIONS ON ELECTRON DEVICES
- Training and operation of an integrated neuromorphic network based on metal-oxide memristors
- (2015) M. Prezioso et al. NATURE
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Characterization and Modeling of Nonfilamentary Ta/TaOx/TiO2/Ti Analog Synaptic Device
- (2015) Yu-Fen Wang et al. Scientific Reports
- Power challenges may end the multicore era
- (2013) Hadi Esmaeilzadeh et al. COMMUNICATIONS OF THE ACM
- Random telegraph noise and resistance switching analysis of oxide based resistive memory
- (2013) Shinhyun Choi et al. Nanoscale
- Memristive devices for computing
- (2012) J. Joshua Yang et al. Nature Nanotechnology
- Titanium nitride as electrode for MOS technology and Schottky diode: Alternative extraction method of titanium nitride work function
- (2011) L.P.B. Lima et al. MICROELECTRONIC ENGINEERING
- A fast, high-endurance and scalable non-volatile memory device made from asymmetric Ta2O5−x/TaO2−x bilayer structures
- (2011) Myoung-Jae Lee et al. NATURE MATERIALS
- Nanoscale Memristor Device as Synapse in Neuromorphic Systems
- (2010) Sung Hyun Jo et al. NANO LETTERS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More