Dissociable effects of saccades on hippocampal local field potential power and phase
Bibliographic record
Abstract
Saccadic eye movements to reorient gaze are critical to efficient scene exploration in primates. During saccades, neural activity in visually responsive areas is suppressed, leading to widespread perturbation in local field potentials (LFPs) known as phase resetting. Saccade-aligned phase resetting has been observed in primate hippocampal LFPs (4-12 Hz) during visual scene exploration, and analogously aligned to object sniffing in rodents completing an associative learning task. To disambiguate motor-activity related changes and object-sampling related changes in primate LFPs during 2D and 3D exploration, we trained two monkeys to complete three tasks while we recorded eye movements and hippocampal LFPs. In a visually guided saccade task (VGS), monkeys were rewarded for making saccades to small white dots on a gray screen. The remaining two tasks required free navigation in a novel virtual reality environment using a joystick. In the virtual foraging task, animals searched for, and navigated to, a red volume which was randomly relocated within the environment. In the virtual associative memory task, monkeys learned a reversed two-context, three-object reward value hierarchy. Eye movements and intra-hippocampal LFPs were simultaneously recorded in each task in a total of 93 channels over 41 sessions. In all tasks, saccade-aligned phase resetting was observed between 4-16 Hz 80-100 ms after saccade onset. Interestingly, the consistency of saccade aligned phase resetting was lowest during VGS in the 8-12 Hz range, and under no circumstances correlated with saccade amplitude. Conversely, gamma range (~64-111Hz) power was elevated ~20ms around the saccade onset in all tasks, and gamma power correlated positively with saccade amplitude across all tasks. These results illustrate dissociable and frequency specific signatures of saccade features on hippocampal LFP power and phase. Phase resetting may be critical for coordination of hippocampal networks during visual exploration of simple scenes and navigable environments. Meeting abstract presented at VSS 2017
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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) | 0.001 | 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".