Monkey Prefrontal Cortical Pyramidal and Putative Interneurons Exhibit Differential Patterns of Activity Between Prosaccade and Antisaccade Tasks
Bibliographic record
Abstract
Previous studies have shown that prefrontal cortex (PFC) neurons carry task-related activity; however, it is largely unknown how this selectivity is implemented in PFC microcircuitry. Here, we exploited known differences in extracellular action potential waveforms, and antidromic identification, to classify PFC neurons as putative pyramidal or interneurons, and investigate their relative contributions to task-selectivity. We recorded the activity of prefrontal neurons while monkeys performed a blocked pro/antisaccade task in which they were required to look either toward or away from a peripheral visual stimulus. We found systematic differences in activity between neuron classes. Putative pyramidal neurons had higher stimulus-related activity on antisaccade trials, whereas putative interneurons exhibited greater activity for prosaccades. These findings suggest that task-selectivity in the PFC may be shaped by interactions between these neuronal classes. They are also consistent with the robust deficits in antisaccade performance frequently observed in disease states associated with PFC dysfunction.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".