Weighted Synapses Without Carry Operations for RRAM-Based Neuromorphic Systems.

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Weighted Synapses Without Carry Operations for RRAM-Based Neuromorphic Systems.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年學術文章

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2018年學術文章

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Weighted Synapses Without Carry Operations for RRAM-Based Neuromorphic Systems.

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Weighted Synapses Without Carry Operations for RRAM-Based Neuromorphic Systems.

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Weighted Synapses Without Carry Operations for RRAM-Based Neuromorphic Systems.

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Weighted Synapses Without Carry Operations for RRAM-Based Neuromorphic Systems.

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Weighted Synapses Without Carry Operations for RRAM-Based Neuromorphic Systems.

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Weighted Synapses Without Carry Operations for RRAM-Based Neuromorphic Systems.

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P1476

Weighted Synapses Without Carry Operations for RRAM-Based Neuromorphic Systems

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P2093

Bin Gao

http://www.w3.org/2001/XMLSchema#string

He Qian

http://www.w3.org/2001/XMLSchema#string

Huaqiang Wu

http://www.w3.org/2001/XMLSchema#string

Ning Deng

http://www.w3.org/2001/XMLSchema#string

Qingtian Zhang

http://www.w3.org/2001/XMLSchema#string

P2860

Deep learning

Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices: Design Considerations

Face classification using electronic synapses

Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines

The missing memristor found.

A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity.

Li-Ion Synaptic Transistor for Low Power Analog Computing.

Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices.

Training and operation of an integrated neuromorphic network based on metal-oxide memristors.

Memristor-based multilayer neural networks with online gradient descent training.

P304

167

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.3389/FNINS.2018.00167

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P478

http://www.w3.org/2001/XMLSchema#string

P50

Yan Liao

P577

2018-03-16T00:00:00Z

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P698

29615856

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P932

5865074

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