Cortical connections of area 2 and posterior parietal area 5 in macaque monkeys
Bibliographic record
Abstract
The overarching goal of the current investigation was to examine the connections of anterior parietal area 2 and the medial portion of posterior parietal area 5 in macaque monkeys; two areas that are part of a network involved reaching and grasping in primates. We injected neuroanatomical tracers into specified locations in each field and directly related labeled cells to histologically identified cortical field boundaries. Labeled cells were counted so that the relative density of projections to areas 2 and 5 from other cortical fields could be determined. Projections to area 2 were restricted and were predominantly from other somatosensory areas of the anterior parietal cortex (areas 1, 3b, and 3a), the second somatosensory area (S2), and from medial and lateral portions of area 5 (5M and 5L respectively). On the other hand, area 5M had very broadly distributed projections from a number of cortical areas including anterior parietal areas, from primary motor cortex (M1), premotor cortex (PM), the supplementary motor area (SMA), cortex on the medial wall, and from posterior parietal areas 5L and 7b. The more restricted pattern of connections of area 2 indicates that it processes somatic inputs locally and provides proprioceptive information to area 5M. 5M, which at least partially overlaps with functionally defined area MIP, receives inputs from somatosensory (predominantly from area 2), posterior parietal and motor cortex, which could provide the substrate for representing multiple coordinate systems necessary for planning ethologically relevant movements, particularly those involving the hand.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".