Pages that link to "Item:Q2804070"
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The following pages link to Comparison of supervised learning methods for spike time coding in spiking neural networks (Q2804070):
Displaying 15 items.
- Coincidence detection using spiking neurons with application to face recognition (Q327711) (← links)
- New approximation method for smooth error backpropagation in a quantron network (Q889323) (← links)
- Adaptive learning rate of SpikeProp based on weight convergence analysis (Q889396) (← links)
- The evidence for neural information processing with precise spike-times: A survey (Q1768773) (← links)
- Variable-structure-systems based approach for online learning of spiking neural networks and its experimental evaluation (Q2017255) (← links)
- An online supervised learning method based on gradient descent for spiking neurons (Q2292192) (← links)
- A supervised multi-spike learning algorithm based on gradient descent for spiking neural networks (Q2510814) (← links)
- Spiking Neural Networks for Cortical Neuronal Spike Train Decoding (Q3556793) (← links)
- Computing with Spikes: The Advantage of Fine-Grained Timing (Q5157248) (← links)
- Supervised Learning in Spiking Neural Networks with ReSuMe: Sequence Learning, Classification, and Spike Shifting (Q5189867) (← links)
- A Spike-Timing-Based Integrated Model for Pattern Recognition (Q5327178) (← links)
- A New Supervised Learning Algorithm for Spiking Neurons (Q5378201) (← links)
- Spike-Timing-Dependent Construction (Q5378271) (← links)
- Learning Spatiotemporally Encoded Pattern Transformations in Structured Spiking Neural Networks (Q5380354) (← links)
- Why Spiking Neural Networks Are Efficient: A Theorem (Q6485300) (← links)
