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Synergistic information supports modality integration and flexible
  learning in neural networks solving multiple tasks

Synergistic information supports modality integration and flexible learning in neural networks solving multiple tasks

6 October 2022
A. Proca
F. Rosas
A. Luppi
D. Bor
Matthew Crosby
P. Mediano
ArXivPDFHTML

Papers citing "Synergistic information supports modality integration and flexible learning in neural networks solving multiple tasks"

3 / 3 papers shown
Title
A General Framework for Interpretable Neural Learning based on Local Information-Theoretic Goal Functions
A General Framework for Interpretable Neural Learning based on Local Information-Theoretic Goal Functions
Abdullah Makkeh
Marcel Graetz
Andreas C. Schneider
David A. Ehrlich
V. Priesemann
Michael Wibral
44
1
0
03 Jun 2023
Estimating the Unique Information of Continuous Variables
Estimating the Unique Information of Continuous Variables
Ari Pakman
Amin Nejatbakhsh
D. Gilboa
Abdullah Makkeh
Luca Mazzucato
Michael Wibral
E. Schneidman
43
24
0
30 Jan 2021
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,636
0
03 Jul 2012
1