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Multimodal Data Fusion based on the Global Workspace Theory
v1v2 (latest)

Multimodal Data Fusion based on the Global Workspace Theory

International Conference on Multimodal Interaction (ICMI), 2020
26 January 2020
C. Bao
Zafeirios Fountas
Temitayo A. Olugbade
N. Bianchi-Berthouze
ArXiv (abs)PDFHTML

Papers citing "Multimodal Data Fusion based on the Global Workspace Theory"

3 / 3 papers shown
Consciousness in Artificial Intelligence: Insights from the Science of
  Consciousness
Consciousness in Artificial Intelligence: Insights from the Science of Consciousness
Patrick Butlin
R. Long
Eric Elmoznino
Yoshua Bengio
Jonathan C. P. Birch
...
L. Mudrik
Megan A. K. Peters
Eric Schwitzgebel
Jonathan Simon
Rufin VanRullen
LLMAG
428
212
0
17 Aug 2023
A Review on Explainability in Multimodal Deep Neural Nets
A Review on Explainability in Multimodal Deep Neural NetsIEEE Access (IEEE Access), 2021
Gargi Joshi
Rahee Walambe
K. Kotecha
524
183
0
17 May 2021
Deep Learning and the Global Workspace Theory
Deep Learning and the Global Workspace TheoryTrends in Neurosciences (TINS), 2020
R. V. Rullen
Ryota Kanai
249
85
0
04 Dec 2020
1
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