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Quantitative analysis of connectivity in the visual cortex: extracting function from structure
- Source :
- The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry. 10(5)
- Publication Year :
- 2004
-
Abstract
- It is generally agreed that information flow through the cortex is constrained by a hierarchical architecture. Lack of precise data on areal connectivity leads to indeterminacy of existing models. The authors introduce two quantitative parameters (SLN and FLN) that hold the promise of resolving such indeterminacy. In the visual system, using a very incomplete database, provisional hierarchies are in line with the recent proposal of higher functions of area V1 and suggest a hitherto unsuspected central function of the frontal eye field.
- Subjects :
- 0301 basic medicine
Indeterminacy (literature)
Field (computer science)
03 medical and health sciences
0302 clinical medicine
Cortex (anatomy)
Neural Pathways
medicine
Information flow (information theory)
Visual Cortex
Structure (mathematical logic)
business.industry
General Neuroscience
Pattern recognition
Function (mathematics)
030104 developmental biology
medicine.anatomical_structure
Visual cortex
Line (geometry)
Neurology (clinical)
Artificial intelligence
Nerve Net
business
Psychology
Neuroscience
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 10738584
- Volume :
- 10
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry
- Accession number :
- edsair.doi.dedup.....79e7ff8b03191607056cd326d1fdbef2