The Relay of High-Frequency Sensory Signals in the Whisker-to-Barreloid Pathway
Bibliographic record
Abstract
The present study investigated the operational features of whisker-evoked EPSPs in barreloid cells and the ability of the whisker-to-barreloid pathway to relay high rates of whisker deflection in lightly anesthetized rats. Results show that lemniscal EPSPs are single-fiber events with fast rise times (<500 microsec) that strongly depress at short inter-EPSP intervals. They occur at short latencies (3.84 +/- 0.96 msec) with little jitters (<300 microsec) after electrical stimulation of the whisker follicle. Waveform analysis indicates that one to three lemniscal axons converge on individual barreloid cells to produce EPSPs of similar rise times but different amplitudes. When challenged by high rates of whisker deflection, cells in the whisker-to-barreloid pathway demonstrate a remarkable frequency-following ability. Primary vibrissa afferents could follow in a phase-locked manner trains of sinusoidal deflections at up to 1 kHz. Although trigeminothalamic cells could still faithfully follow deflection rates of 200-300 Hz, the actual frequency-following ability of individual cells depends on the amplitude, velocity, and direction of displacements. The discharges of trigeminothalamic cells induce corresponding phase-locked EPSPs in barreloid cells, which trigger burst discharges at stimulus onset. During the following cycles of the stimulus train, few action potentials ensue because of the strong synaptic depression at lemniscal synapses. It is concluded that the whisker-to-barreloid pathway can relay vibratory inputs with a high degree of temporal precision, but that the relay of this information to the cerebral cortex requires the action of modulators, and possibly phase-locked discharges among an ensemble of relay cells.
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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 | 0.001 |
| 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".