Pages that link to "Item:Q3593959"
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The following pages link to Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity (Q3593959):
Displaying 36 items.
- Short-term plasticity as cause-effect hypothesis testing in distal reward learning (Q309633) (← links)
- Neuron as a reward-modulated combinatorial switch and a model of learning behavior (Q461134) (← links)
- Adaptive learning rate of SpikeProp based on weight convergence analysis (Q889396) (← links)
- Mathematical properties of neuronal TD-rules and differential Hebbian learning: a comparison (Q937719) (← links)
- Phenomenological models of synaptic plasticity based on spike timing (Q937760) (← links)
- An implementation of reinforcement learning based on spike timing dependent plasticity (Q999443) (← links)
- Reinforcement learning in the brain (Q1042310) (← links)
- Supervised learning with decision margins in pools of spiking neurons (Q1732642) (← links)
- 2D co-ordinate transformation based on a spike timing-dependent plasticity learning mechanism (Q1932106) (← links)
- Robust spike-train learning in spike-event based weight update (Q2179081) (← links)
- Corticostriatal synaptic weight evolution in a two-alternative forced choice task: a computational study (Q2207729) (← links)
- Robust learning in SpikeProp (Q2281710) (← links)
- A supervised multi-spike learning algorithm based on gradient descent for spiking neural networks (Q2510814) (← links)
- A model of STDP based on spatially and temporally local information: derivation and combination with gated decay (Q2568014) (← links)
- Spike-timing-dependent Hebbian plasticity as temporal difference learning (Q2762422) (← links)
- Statistical mechanics of reward-modulated learning in decision-making networks (Q2919408) (← links)
- Learning Spike-Based Population Codes by Reward and Population Feedback (Q3576270) (← links)
- A Spiking Neural Network Model of an Actor-Critic Learning Agent (Q3612121) (← links)
- A Gradient Learning Rule for the Tempotron (Q3612122) (← links)
- On the Asymptotic Equivalence Between Differential Hebbian and Temporal Difference Learning (Q3616511) (← links)
- Supervised Learning in Spiking Neural Networks with ReSuMe: Sequence Learning, Classification, and Spike Shifting (Q5189867) (← links)
- Learning with Precise Spike Times: A New Decoding Algorithm for Liquid State Machines (Q5214371) (← links)
- Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses (Q5214407) (← links)
- A Spiking Neural Model for Stable Reinforcement of Synapses Based on Multiple Distal Rewards (Q5327159) (← 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)
- Competitive STDP Learning of Overlapping Spatial Patterns (Q5380300) (← links)
- A Reward-Maximizing Spiking Neuron as a Bounded Rational Decision Maker (Q5380302) (← links)
- Learning Spatiotemporally Encoded Pattern Transformations in Structured Spiking Neural Networks (Q5380354) (← links)
- Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule (Q5440969) (← links)
- Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning (Q5474565) (← links)
- Sailboat navigation control system based on spiking neural networks (Q6061944) (← links)
- Strong Allee Effect Synaptic Plasticity Rule in an Unsupervised Learning Environment (Q6136195) (← links)
- Second-order information bottleneck based spiking neural networks for sEMG recognition (Q6149522) (← links)
- Context meta-reinforcement learning via neuromodulation (Q6488704) (← links)
