A generalized Leaky Integrate-and-Fire neuron model with fast implementation method.
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Nature Inspired Computing: An Overview and Some Future DirectionsA practical guideline for intracranial volume estimation in patients with Alzheimer's disease.Oscillation-Driven Spike-Timing Dependent Plasticity Allows Multiple Overlapping Pattern Recognition in Inhibitory Interneuron Networks.An Unsupervised Online Spike-Sorting Framework.A Scalable Weight-Free Learning Algorithm for Regulatory Control of Cell Activity in Spiking Neuronal Networks.Defense Against Chip Cloning Attacks Based on Fractional Hopfield Neural Networks.Spiking Neural P Systems with Communication on Request.From Structure to Activity: Using Centrality Measures to Predict Neuronal Activity.A Multiple-Plasticity Spiking Neural Network Embedded in a Closed-Loop Control System to Model Cerebellar Pathologies.A Cross-Correlated Delay Shift Supervised Learning Method for Spiking Neurons with Application to Interictal Spike Detection in Epilepsy.Superlinear Summation of Information in Premotor Neuron Pairs.Enhancement of Spike-Timing-Dependent Plasticity in Spiking Neural Systems with Noise.
P2860
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P2860
A generalized Leaky Integrate-and-Fire neuron model with fast implementation method.
description
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name
A generalized Leaky Integrate-and-Fire neuron model with fast implementation method.
@en
A generalized Leaky Integrate-and-Fire neuron model with fast implementation method.
@nl
type
label
A generalized Leaky Integrate-and-Fire neuron model with fast implementation method.
@en
A generalized Leaky Integrate-and-Fire neuron model with fast implementation method.
@nl
prefLabel
A generalized Leaky Integrate-and-Fire neuron model with fast implementation method.
@en
A generalized Leaky Integrate-and-Fire neuron model with fast implementation method.
@nl
P2093
P2860
P1476
A generalized Leaky Integrate-and-Fire neuron model with fast implementation method.
@en
P2093
Malek Adjouadi
Zhenzhong Wang
P2860
P304
P356
10.1142/S0129065714400048
P577
2014-04-28T00:00:00Z