Code-specific learning rules improve action selection by populations of spiking neurons.
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Assembling A Multi-Feature EEG Classifier for Left-Right Motor Imagery Data Using Wavelet-Based Fuzzy Approximate Entropy for Improved Accuracy.Oscillation-Driven Spike-Timing Dependent Plasticity Allows Multiple Overlapping Pattern Recognition in Inhibitory Interneuron Networks.Goal-Directed Decision Making with Spiking Neurons.High-Density Liquid-State Machine Circuitry for Time-Series Forecasting.An Unsupervised Online Spike-Sorting Framework.Artificial neuron-glia networks learning approach based on cooperative coevolution.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.A Programmer-Interpreter Neural Network Architecture for Prefrontal Cognitive Control.A new work mechanism on neuronal activity.Real-time EEG-based detection of fatigue driving danger for accident prediction.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.A Fly-Inspired Mushroom Bodies Model for Sensory-Motor Control Through Sequence and Subsequence Learning.Cell Assembly Signatures Defined by Short-Term Synaptic Plasticity in Cortical Networks.Understanding Networks of Computing Chemical Droplet Neurons Based on Information Flow.Adaptation-dependent synchronization transitions and burst generations in electrically coupled neural networks.
P2860
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P2860
Code-specific learning rules improve action selection by populations of spiking neurons.
description
2013 nî lūn-bûn
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2013年の論文
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name
Code-specific learning rules improve action selection by populations of spiking neurons.
@en
Code-specific learning rules improve action selection by populations of spiking neurons.
@nl
type
label
Code-specific learning rules improve action selection by populations of spiking neurons.
@en
Code-specific learning rules improve action selection by populations of spiking neurons.
@nl
prefLabel
Code-specific learning rules improve action selection by populations of spiking neurons.
@en
Code-specific learning rules improve action selection by populations of spiking neurons.
@nl
P2860
P50
P1476
Code-specific learning rules improve action selection by populations of spiking neurons.
@en
P2860
P304
P356
10.1142/S0129065714500026
P577
2013-12-05T00:00:00Z