Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: A Neuromorphic VLSI Design for Spike Timing and Rate Based Synaptic Plasticity
A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity
A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model
Spike Timing-Dependent Plasticity of Neural Circuits
spike timing - dependent plasticity : a hebbian learning rule .
Training Spiking Deep Networks for Neuromorphic Hardware
A spiking neuromorphic design with resistive crossbar
Hardware spiking neurons design: Analog or digital?
The Spike-Timing Dependence of Plasticity
A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses
ASP: Learning to Forget with Adaptive Synaptic Plasticity in Spiking Neural Networks
A CMOS Spiking Neural Network Circuit with Symmetric/Asymmetric STDP Function
Integration of nanoscale memristor synapses in neuromorphic computing architectures
3-D Floating-Gate Synapse Array With Spike-Time-Dependent Plasticity
Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks
Conversion of artificial recurrent neural networks to spiking neural networks for low-power neuromorphic hardware
Modeling somatic and dendritic spike mediated plasticity at the single neuron and network level
Learning arbitrary dynamics in efficient, balanced spiking networks using local plasticity rules
Neuromorphic computing with multi-memristive synapses
Spiking Neuron Models: Single Neurons, Populations, Plasticity
Neuromorphic Processors with Memristive Synapses: Synaptic Interface and Architectural Exploration
C-Miner: Mining Block Correlations in Storage Systems
A Decentralized Publication System for Open Science using Blockchain and IPFS
Towards Future THz Communications Systems
From Social Media to Social Product Development: The Impact of Social Media on Co-Creation of Innovation
Self-organization in a perceptual network