Neural Activity in Monkey Prefrontal Cortex Is Modulated by Task Context and Behavioral Instruction during Delayed-match-to-sample and Conditional Prosaccade—Antisaccade Tasks
Bibliographic record
Abstract
Complex behavior often requires the formation of associations between environmental stimuli and motor responses appropriate to those stimuli. Moreover, the appropriate response to a given stimulus may vary depending on environmental context. Stimulus-response associations that are adaptive in one situation may not be in another. The prefrontal cortex (PFC) has been shown to be critical for stimulus-response mapping and the implementation of task context. To investigate the neural representation of sensory-motor associations and task context in the PFC, we recorded the activity of prefrontal neurons in two monkeys while they performed two tasks. The first task was a delayed-match-to-sample task in which monkeys were presented with a sample picture and rewarded for making a saccade to the test picture that matched the sample picture following a delay period. The second task was a conditional visuomotor task in which identical sample pictures were presented. In this task, animals were rewarded for performing either prosaccades or antisaccades following the delay period depending on sample picture identity. PFC neurons showed task selectivity, object selectivity, and combinations of task and object selectivity. These modulations of activity took the form of a reduction in stimulus and delay-related activity, and a pro/anti instruction-based grouping of delay activity in the conditional visuomotor task. These data show that activity in PFC neurons is modulated by experimental context, and that this activity represents the formal demands of the task currently being performed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".