2022
DOI: 10.3389/fncom.2022.857653
|View full text |Cite
|
Sign up to set email alerts
|

Maximal Dependence Capturing as a Principle of Sensory Processing

Abstract: Sensory inputs conveying information about the environment are often noisy and incomplete, yet the brain can achieve remarkable consistency in recognizing objects. Presumably, transforming the varying input patterns into invariant object representations is pivotal for this cognitive robustness. In the classic hierarchical representation framework, early stages of sensory processing utilize independent components of environmental stimuli to ensure efficient information transmission. Representations in subsequen… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
9
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1

Relationship

1
0

Authors

Journals

citations
Cited by 1 publication
(9 citation statements)
references
References 164 publications
(192 reference statements)
0
9
0
Order By: Relevance
“…Occluded forms show lower specificity but are significantly higher than non-specific representations (dotted line). Images in e and f are from ref 49 .…”
Section: Resultsmentioning
confidence: 99%
See 4 more Smart Citations
“…Occluded forms show lower specificity but are significantly higher than non-specific representations (dotted line). Images in e and f are from ref 49 .…”
Section: Resultsmentioning
confidence: 99%
“…This result highlights the network's ability to learn from pure experience and generate consistent representations. Importantly, it achieves prospective robustness, defined as consistently representing input patterns it has never experienced 49 .…”
Section: A Dependency Capturing Network For Object Discrimination And...mentioning
confidence: 99%
See 3 more Smart Citations