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BioLeaF: A Bio-plausible Learning Framework for Training of Spiking
  Neural Networks

BioLeaF: A Bio-plausible Learning Framework for Training of Spiking Neural Networks

14 November 2021
Yukun Yang
Peng Li
ArXivPDFHTML

Papers citing "BioLeaF: A Bio-plausible Learning Framework for Training of Spiking Neural Networks"

4 / 4 papers shown
Title
Delving Deeper Into Astromorphic Transformers
Delving Deeper Into Astromorphic Transformers
Md. Zesun Ahmed Mia
Malyaban Bal
Abhronil Sengupta
34
1
0
18 Dec 2023
Synaptic Dynamics Realize First-order Adaptive Learning and Weight
  Symmetry
Synaptic Dynamics Realize First-order Adaptive Learning and Weight Symmetry
Yukun Yang
Peng Li
ODL
33
1
0
01 Dec 2022
A Computational Framework of Cortical Microcircuits Approximates
  Sign-concordant Random Backpropagation
A Computational Framework of Cortical Microcircuits Approximates Sign-concordant Random Backpropagation
Yukun Yang
Peng Li
22
1
0
15 May 2022
Backpropagated Neighborhood Aggregation for Accurate Training of Spiking
  Neural Networks
Backpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks
Yukun Yang
Wenrui Zhang
Peng Li
AAML
111
25
0
22 Jun 2021
1