Pages that link to "Item:Q5699302"
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The following pages link to What Can a Neuron Learn with Spike-Timing-Dependent Plasticity? (Q5699302):
Displaying 23 items.
- Associative memory of phase-coded spatiotemporal patterns in leaky integrate and fire networks (Q385290) (← links)
- Phenomenological models of synaptic plasticity based on spike timing (Q937760) (← links)
- Supervised learning with decision margins in pools of spiking neurons (Q1732642) (← links)
- An online supervised learning method based on gradient descent for spiking neurons (Q2292192) (← links)
- Fading memory and time series prediction in recurrent networks with different forms of plasticity (Q2373494) (← links)
- A supervised multi-spike learning algorithm based on gradient descent for spiking neural networks (Q2510814) (← links)
- What is different with spiking neurons? (Q2765786) (← links)
- A Theoretical Basis for Emergent Pattern Discrimination in Neural Systems Through Slow Feature Extraction (Q3067067) (← links)
- Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity (Q3593959) (← links)
- Spike-Timing Error Backpropagation in Theta Neuron Networks (Q3612105) (← links)
- Spiking Neurons Can Learn to Solve Information Bottleneck Problems and Extract Independent Components (Q3616496) (← links)
- Competitive STDP-Based Spike Pattern Learning (Q3628011) (← links)
- Supervised Learning in Spiking Neural Networks with ReSuMe: Sequence Learning, Classification, and Spike Shifting (Q5189867) (← links)
- Adaptive Synchronization of Activities in a Recurrent Network (Q5323844) (← links)
- Supervised Learning in Multilayer Spiking Neural Networks (Q5327180) (← links)
- A New Supervised Learning Algorithm for Spiking Neurons (Q5378201) (← links)
- Spike-Timing-Dependent Construction (Q5378271) (← links)
- Supervised Spike-Timing-Dependent Plasticity: A Spatiotemporal Neuronal Learning Rule for Function Approximation and Decisions (Q5378286) (← links)
- Reducing the Variability of Neural Responses: A Computational Theory of Spike-Timing-Dependent Plasticity (Q5423020) (← links)
- Learning Real-World Stimuli in a Neural Network with Spike-Driven Synaptic Dynamics (Q5441301) (← links)
- Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning (Q5474565) (← links)
- Improving a cortical pyramidal neuron model's classification performance on a real-world ECG dataset by extending inputs (Q6130931) (← links)
- Enhancing orderly signal propagation between layers of neuronal networks through spike timing-dependent plasticity (Q6594699) (← links)
