Spatio‐temporal response properties of local field potentials in the primate superior colliculus
Bibliographic record
Abstract
Local field potentials (LFPs) are becoming increasingly popular in neurophysiological studies. However, to date, most of the knowledge about LFPs has been obtained from cortical recordings. Here, we recorded single unit activity (SUA) and LFPs simultaneously from the superior colliculus (SC) of behaving rhesus monkeys. The SC is a midbrain structure that plays a central role in the visual orienting response. Previous studies have characterised the visual and visuomotor response properties of SUA in the superficial layers of the SC and the intermediate layers of the SC, respectively. We found that the signal properties of SUA were well preserved in the LFPs recorded from the SC. The SUA and LFPs had similar spatial and temporal properties, and the response properties of LFPs differed across layers, i.e. purely visual in the superficial layers of the SC but showing significant motor responses in the intermediate layers of the SC. There were also differences between SUA and LFPs. LFPs showed a significant reversal of activity following the phasic visual response, suggesting that the neighboring neurons were suppressed. The results indicate that the LFP can be used as a reliable measure of the SC activity in lieu of SUA, and open up a new way to assess sensorimotor processing within the SC.
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 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 | 0.002 |
| 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 | 0.000 |
| 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".