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Code-specific policy gradient rules for spiking neurons

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Code-specific policy gradient rules for spiking neurons

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Evolutionary and Computational Advantages of Neuromodulated Plasticity

Extracting non-linear integrate-and-fire models from experimental data using dynamic I – V curves

Firing patterns in the adaptive exponential integrate-and-fire model

A supervised learning approach based on STDP and polychronization in spiking neuron networks

Slowness: An Objective for Spike-Timing-Dependent Plasticity?

Automatic Methods for Motor Intention Recognition from Spike Rates

A supervised learning approach based on STDP and polychronization in spiking neuron networks

Optimal Spike-Timing Dependent Plasticity for Precise Action Potential Firing in Supervised Learning

Spiking Neuron Networks A survey

Evolution of Spiking Neural Circuits in Autonomous Mobile Robots

Optimal Spike-Timing Dependent Plasticity for Precise Action Potential Firing in Supervised Learning

A supervised learning approach based on STDP and polychronization in spiking neuron networks

Evolution of Spiking Neural Circuits in Autonomous Mobile Robots

Evolutionary and Computational Advantages of Neuromodulated Plasticity

Extracting non-linear integrate-and-fire models from experimental data using dynamic I – V curves

A supervised learning approach based on STDP and polychronization in spiking neuron networks

Firing patterns in the adaptive exponential integrate-and-fire model

Automatic Methods for Motor Intention Recognition from Spike Rates

Slowness: An Objective for Spike-Timing-Dependent Plasticity?

Spiking Neuron Networks A survey