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06/07/2023
Meta-Learning in Spiking Neural Networks with Reward-Modulated STDP
The human brain constantly learns and rapidly adapts to new situations b...
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02/10/2021
Enhancing efficiency of object recognition in different categorization levels by reinforcement learning in modular spiking neural networks
The human visual system contains a hierarchical sequence of modules that...
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11/18/2020
Bio-plausible Unsupervised Delay Learning for Extracting Temporal Features in Spiking Neural Networks
The plasticity of the conduction delay between neurons plays a fundament...
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03/06/2019
SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks with at most one Spike per Neuron
Application of deep convolutional spiking neural networks (SNNs) to arti...
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03/31/2018
Combining STDP and Reward-Modulated STDP in Deep Convolutional Spiking Neural Networks for Digit Recognition
The primate visual system has inspired the development of deep artificia...
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05/25/2017
First-spike based visual categorization using reward-modulated STDP
Reinforcement learning (RL) has recently regained popularity, with major...
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03/29/2017
Object categorization in finer levels requires higher spatial frequencies, and therefore takes longer
The human visual system contains a hierarchical sequence of modules that...
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11/04/2016
STDP-based spiking deep convolutional neural networks for object recognition
Previous studies have shown that spike-timing-dependent plasticity (STDP...
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04/21/2016
Humans and deep networks largely agree on which kinds of variation make object recognition harder
View-invariant object recognition is a challenging problem, which has at...
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04/15/2015