Return
Quantitative analysis of connectivity in the visual cortex: Extracting function from structure
DOI:10.1177/1073858404268478.png)
Abstract
En 中文
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.
Keywords:
model
primate
connectivity
vision
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
N
IF:
3.9
Papers:
1.5K
Citations:
5.6K
Organization
No organization information available

