Finding a roadmap to achieve large neuromorphic hardware systems
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A Review of Current Neuromorphic Approaches for Vision, Auditory, and Olfactory SensorsSpike processing with a graphene excitable laser.Comparing Neuromorphic Solutions in Action: Implementing a Bio-Inspired Solution to a Benchmark Classification Task on Three Parallel-Computing Platforms.Closed-loop brain-machine-body interfaces for noninvasive rehabilitation of movement disordersAn Augmented Two-Layer Model Captures Nonlinear Analog Spatial Integration Effects in Pyramidal Neuron Dendrites.Characterization and compensation of network-level anomalies in mixed-signal neuromorphic modeling platforms.Energy-Efficient Neuromorphic Classifiers.Artificial Neuron Based on Integrated Semiconductor Quantum Dot Mode-Locked Lasers.A 4-fJ/Spike Artificial Neuron in 65 nm CMOS Technology.A mixed-signal implementation of a polychronous spiking neural network with delay adaptation.Li-Ion Synaptic Transistor for Low Power Analog Computing.Reducing the computational footprint for real-time BCPNN learning.Synchronization dynamics on the picosecond time scale in coupled Josephson junction neurons.Obstacle Avoidance and Target Acquisition for Robot Navigation Using a Mixed Signal Analog/Digital Neuromorphic Processing System.Neuromorphic photonic networks using silicon photonic weight banks.Binary Associative Memories as a Benchmark for Spiking Neuromorphic Hardware.Single pairing spike-timing dependent plasticity in BiFeO3 memristors with a time window of 25 ms to 125 μs.Network-driven design principles for neuromorphic systemsMemristor-Based Analog Computation and Neural Network Classification with a Dot Product Engine.Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits.Capacity, Fidelity, and Noise Tolerance of Associative Spatial-Temporal Memories Based on Memristive Neuromorphic Networks.Performance Comparison of the Digital Neuromorphic Hardware SpiNNaker and the Neural Network Simulation Software NEST for a Full-Scale Cortical Microcircuit Model.
P2860
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P2860
Finding a roadmap to achieve large neuromorphic hardware systems
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2013 nî lūn-bûn
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2013 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի սեպտեմբերին հրատարակված գիտական հոդված
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2013年の論文
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2013年論文
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2013年論文
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2013年論文
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2013年論文
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2013年論文
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2013年论文
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name
Finding a roadmap to achieve large neuromorphic hardware systems
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Finding a roadmap to achieve large neuromorphic hardware systems
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type
label
Finding a roadmap to achieve large neuromorphic hardware systems
@ast
Finding a roadmap to achieve large neuromorphic hardware systems
@en
prefLabel
Finding a roadmap to achieve large neuromorphic hardware systems
@ast
Finding a roadmap to achieve large neuromorphic hardware systems
@en
P2860
P356
P1476
Finding a roadmap to achieve large neuromorphic hardware systems
@en
P2093
Jennifer Hasler
P2860
P356
10.3389/FNINS.2013.00118
P577
2013-09-10T00:00:00Z