Faculty Opinions recommendation of Moving visual stimuli rapidly induce direction sensitivity of developing tectal neurons.
Bibliographic record
Abstract
During development of the visual system, the pattern of visual inputs may have an instructive role in refining developing neural circuits. How visual inputs of specific spatiotemporal patterns shape the circuit development remains largely unknown. We report here that, in the developing Xenopus retinotectal system, the receptive field of tectal neurons can be 'trained' to become direction-sensitive within minutes after repetitive exposure of the retina to moving bars in a particular direction. The induction of direction-sensitivity depends on the speed of the moving bar, can not be induced by random visual stimuli, and is accompanied by an asymmetric modification of the tectal neuron's receptive field. Furthermore, such training-induced changes require spiking of the tectal neuron and activation of a NMDA (N-methyl-D-aspartate) subtype of glutamate receptors during training, and are attributable to an activity-induced enhancement of glutamate-mediated inputs. Thus, developing neural circuits can be modified rapidly and specifically by visual inputs of defined spatiotemporal patterns, in a manner consistent with predictions based on spike-time-dependent synaptic modification. PMID: 12368854
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.019 |
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".