[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Yakopcic et al., 2015 - Google Patents

Determining optimal switching speed for memristors in neuromorphic system

Yakopcic et al., 2015

View PDF @Full View
Document ID
5891083775384099630
Author
Yakopcic C
Taha T
Publication year
Publication venue
Electronics Letters

External Links

Snippet

As non‐volatile memory based on resistive switching becomes more mature, memristor devices with very fast switching times are becoming more prominent. However, this reported work shows that memristor devices with slow switching times (of about 10 µs) are more …
Continue reading at ietresearch.onlinelibrary.wiley.com (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/06Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G06N3/0635Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/04Architectures, e.g. interconnection topology
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • GPHYSICS
    • G11INFORMATION STORAGE
    • G11CSTATIC STORES
    • G11C13/00Digital stores characterised by the use of storage elements not covered by groups G11C11/00, G11C23/00 - G11C25/00
    • G11C13/0002Digital stores characterised by the use of storage elements not covered by groups G11C11/00, G11C23/00 - G11C25/00 using resistance random access memory [RRAM] elements
    • G11C13/0021Auxiliary circuits
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models

Similar Documents

Publication Publication Date Title
Srinivasan et al. Magnetic tunnel junction based long-term short-term stochastic synapse for a spiking neural network with on-chip STDP learning
Huang et al. Quasi‐synchronisation of fractional‐order memristor‐based neural networks with parameter mismatches
Xu et al. Advances in memristor-based neural networks
Hasan et al. On-chip training of memristor crossbar based multi-layer neural networks
Woo et al. Probabilistic computing using Cu0. 1Te0. 9/HfO2/Pt diffusive memristors
Yakopcic et al. Memristor‐based neuron circuit and method for applying learning algorithm in SPICE
Yu et al. A low energy oxide‐based electronic synaptic device for neuromorphic visual systems with tolerance to device variation
Abunahla et al. NeuroMem: Analog graphene-based resistive memory for artificial neural networks
Krestinskaya et al. Memristive GAN in analog
Yakopcic et al. Determining optimal switching speed for memristors in neuromorphic system
Hu et al. The stochastic modeling of TiO 2 memristor and its usage in neuromorphic system design
Pershin et al. Memcapacitive neural networks
Dong et al. Hybrid dual‐complementary metal–oxide–semiconductor/memristor synapse‐based neural network with its applications in image super‐resolution
Wu et al. Adaptive anti-synchronization and H∞ anti-synchronization for memristive neural networks with mixed time delays and reaction–diffusion terms
Hasan et al. A fast training method for memristor crossbar based multi-layer neural networks
Dong et al. Flexible memristor‐based LUC and its network integration for Boolean logic implementation
Yakopcic et al. Efficacy of memristive crossbars for neuromorphic processors
Fahimi et al. Combinatorial optimization by weight annealing in memristive hopfield networks
Hu et al. A novel chaotic neural network using memristive synapse with applications in associative memory
Dong et al. A Novel Memristive Multilayer Feedforward Small‐World Neural Network with Its Applications in PID Control
Wang et al. Memristive perceptron for combinational logic classification
Suarez et al. Evaluation of the computational capabilities of a memristive random network (MN3) under the context of reservoir computing
Yakopcic et al. SPICE analysis of dense memristor crossbars for low power neuromorphic processor designs
Woo et al. Exploiting defective RRAM array as synapses of HTM spatial pooler with boost-factor adjustment scheme for defect-tolerant neuromorphic systems
García-Redondo et al. Self-controlled multilevel writing architecture for fast training in neuromorphic RRAM applications