Stabilization of stationary excitation pulses in an open flow without long-range inhibition
Bibliographic record
Abstract
We study numerically and experimentally the stabilization of stationary excitation pulses in an open flow system. Since all the species have equal flow and diffusion coefficients, stabilization of stationary pulses by long-range inhibition is excluded. Upstream propagating pulses slow down as they approach the inflow boundary, where a constant forcing establishes a downstream extending subexcitable boundary layer. When the flow velocity is low, successive pulses vanish as they reach the subexcitable region. When the flow velocity is increased, the incoming pulses pile up near the inflow one after the other to form a stationary and space-periodic structure. This occurs in such a manner that the system remembers and stores the number of incoming pulses. We show that flow-induced stabilization of stationary pulses involves a mechanism by which the upstream subexcitable region and the flow cause the arrest of the pulse front and the pulse back, respectively. We discuss how the flow-stabilized structures compare to, and are different from those stabilized by a long-ranged, diffusive inhibition and from those observed in boundary-forced open flows of media showing relaxation-type oscillations.
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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 | 0.001 |
| 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 | 0.001 |
| 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".