Characterizing optogenetically mediated rebound effects in anaesthetized mouse primary visual cortex
Bibliographic record
Abstract
Optogenetic tools have been used to investigate neural circuits in mouse primary visual cortex (V1), where channelrhodopsin-mediated activation (photostimulation) of inhibitory interneuron subtypes expressing parvalbumin (Pvalb+), somatostatin (SOM+) or vasoactive intestinal peptide (VIP+) can alter the responses of excitatory pyramidal neurons. Some studies have mentioned rebound spiking after this photostimulation, but no systematic analysis of these post-inhibitory rebound effects has yet been performed. Here, we characterized optogenetically mediated rebound effects in pyramidal cells and interneurons following Pvalb+, SOM+ or VIP+ photostimulation in isoflurane anaesthetized mice and investigated whether V1 network features such as activity and connectivity can affect rebound magnitude. We found converging evidence that rebounds were largest when interneuron photostimulation was coupled with visual stimuli that strongly activate V1. Many directly photostimulated interneurons showed post-activation effects that differed from rebounds in polarity and timing. Finally, Pvalb+ photostimulation produced the largest rebounds. Our findings suggest that both cellular and network mechanisms contribute to rebound effects in mouse V1. KEY POINTS: To study cortical circuits, light-activated optogenetic proteins targeted to inhibitory interneurons are used to suppress excitatory pyramidal cells, but after the light is turned off pyramidal cells sometimes show excess spiking, which is called a post-inhibitory rebound. We investigated whether optogenetically mediated post-inhibitory rebounds are affected by local cortical network activity and connectivity in anaesthetized mouse visual cortex. We show that visual stimuli that strongly activate visual cortex increase the magnitude of both post-inhibitory rebounds in pyramidal cells and novel post-excitation effects in the directly optogenetically activated interneurons. Activating different interneuron subtypes, each with distinct connection patterns within the local network, elicits different rebound effects. The properties of optogenetically mediated rebound effects in cortex can provide insights into how excitation and inhibition are regulated during normal brain function.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".