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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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10/23/2022
Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharing
Deep convolutional neural networks (DCNNs) have become the state-of-the-...
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09/27/2021
Spiking neural networks trained via proxy
We propose a new learning algorithm to train spiking neural networks (SN...
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09/12/2021
BioLCNet: Reward-modulated Locally Connected Spiking Neural Networks
Recent studies have shown that convolutional neural networks (CNNs) are ...
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08/31/2021
Spike time displacement based error backpropagation in convolutional spiking neural networks
We recently proposed the STiDi-BP algorithm, which avoids backward recur...
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07/08/2020
BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning
We recently proposed the S4NN algorithm, essentially an adaptation of ba...
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11/09/2019
Action Recognition Using Supervised Spiking Neural Networks
Biological neurons use spikes to process and learn temporally dynamic in...
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10/21/2019
S4NN: temporal backpropagation for spiking neural networks with one spike per neuron
We propose a new supervised learning rule for multilayer spiking neural ...
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04/22/2018
Deep Learning in Spiking Neural Networks
Deep learning approaches have shown remarkable performance in many areas...
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03/01/2018
Optimal localist and distributed coding of spatiotemporal spike patterns through STDP and coincidence detection
Repeating spatiotemporal spike patterns exist and carry information. Her...
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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