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Homogeneous Spiking Neuromorphic System for Real-World Pattern Recognition
TLDR
A neuromorphic chip that combines CMOS analog spiking neurons and memristive synapses offers a promising solution to brain-inspired computing, as it can provide massive neural network parallelism and density. Expand
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A CMOS Spiking Neuron for Brain-Inspired Neural Networks With Resistive Synapses and In Situ Learning
TLDR
We present a novel leaky integrate-and-fire neuron design that implements the dual-mode operation of current integration and synaptic drive and enables in situ learning with crossbar resistive synapses. Expand
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Towards Neuromorphic Learning Machines Using Emerging Memory Devices with Brain-Like Energy Efficiency
TLDR
Large-scale integration of nanoscale emerging memory devices with Complementary Metal Oxide Semiconductor (CMOS) mixed-signal integrated circuits can herald a new generation of Neuromorphic computers that will transcend the von Neumann bottleneck for cognitive computing tasks. Expand
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Investigation of pickup effect for multi-fingered ESD devices in 0.5 μm 5V/ 18V CDMOS process
Pickup effect for 5V NMOS and 18V lateral double-diffused NMOS under electrostatic discharge (ESD) stress is investigated and characterised by a transmission line pulse test system in a standard 0.5Expand
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Energy-Efficient CMOS Memristive Synapses for Mixed-Signal Neuromorphic System-on-a-Chip
TLDR
The proposed mixed-signal memristive synapse can be designed and fabricated using standard CMOS technologies and open doors to interesting applications in cognitive computing. Expand
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Substrate-engineered GGNMOS for low trigger voltage ESD in 65 nm CMOS process
TLDR
A novel Substrate-Engineered Gate-Grounded NMOS structure with very low trigger voltage is proposed to protect the ultra-thin gate oxide effectively in nanoscaled integrated circuits. Expand
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Compact Verilog-A modeling of silicon traveling-wave modulator for hybrid CMOS photonic circuit design
TLDR
A compact Verilog-A model of silicon-based junction traveling-waveMach-Zehnder modulator (MZM) is developed for hybrid CMOS and photonic system-level simulation. Expand
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A CMOS spiking neuron for dense memristor-synapse connectivity for brain-inspired computing
TLDR
Neuromorphic systems that densely integrate CMOS spiking neurons and nano-scale memristor synapses open a new avenue of brain-inspired computing. Expand
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Design Considerations for Traveling-Wave Modulator-Based CMOS Photonic Transmitters
TLDR
Systematic design and simulation methodology for hybrid optical transmitters that combine CMOS circuits in a 130-nm process and a traveling-wave Mach-Zehnder modulator in a130-nm silicon-on-insulator CMOS process is presented. Expand
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