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Biologically-plausible backpropagation through arbitrary timespans via
  local neuromodulators

Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators

2 June 2022
Yuhan Helena Liu
Stephen Smith
Stefan Mihalas
E. Shea-Brown
Uygar Sumbul
ArXivPDFHTML

Papers citing "Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators"

3 / 3 papers shown
Title
Evolutionary algorithms as an alternative to backpropagation for
  supervised training of Biophysical Neural Networks and Neural ODEs
Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs
James Hazelden
Yuhan Helena Liu
Eli Shlizerman
E. Shea-Brown
52
2
0
17 Nov 2023
Brain-inspired learning in artificial neural networks: a review
Brain-inspired learning in artificial neural networks: a review
Samuel Schmidgall
Jascha Achterberg
Thomas Miconi
Louis Kirsch
Rojin Ziaei
S. P. Hajiseyedrazi
Jason K. Eshraghian
41
52
0
18 May 2023
Long short-term memory and learning-to-learn in networks of spiking
  neurons
Long short-term memory and learning-to-learn in networks of spiking neurons
G. Bellec
Darjan Salaj
Anand Subramoney
Robert Legenstein
Wolfgang Maass
121
483
0
26 Mar 2018
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