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12/01/2022
Synaptic Dynamics Realize First-order Adaptive Learning and Weight Symmetry
Gradient-based first-order adaptive optimization methods such as the Ada...
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05/15/2022
A Computational Framework of Cortical Microcircuits Approximates Sign-concordant Random Backpropagation
Several recent studies attempt to address the biological implausibility ...
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03/29/2022
Agreement or Disagreement in Noise-tolerant Mutual Learning?
Deep learning has made many remarkable achievements in many fields but s...
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11/14/2021
BioLeaF: A Bio-plausible Learning Framework for Training of Spiking Neural Networks
Our brain consists of biological neurons encoding information through ac...
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06/22/2021
Backpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks
While backpropagation (BP) has been applied to spiking neural networks (...
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11/18/2020
Temporal Surrogate Back-propagation for Spiking Neural Networks
Spiking neural networks (SNN) are usually more energy-efficient as compa...
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10/10/2019
Defending Neural Backdoors via Generative Distribution Modeling
Neural backdoor attack is emerging as a severe security threat to deep l...
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06/19/2019