Specific Neural Connection Formation in the Developing Nervous System
Bibliographic record
Abstract
Abstract To construct a properly functioning nervous system, neurons must form precise and specific connections during embryonic development. A number of mechanisms have been proposed to explain how connectivity is established, including the concept of ‘chemoaffinity’, ‘labelled pathways’ and ‘segmental pathfinding’. It is well accepted that each of these mechanisms is best explained by guidance cue and receptor interactions at the growing tip of the neuron, the growth cone. Guidance cue‐receptor signalling in the growth cone modifies its steering behaviour resulting in the establishment of specific neural connections. The main families of guidance cues include netrins, ephrins, slits and semaphorins, although morphogens such as bone morphogenetic proteins (BMP) and sonic hedgehog (SHH) also have guidance cue roles. It is the complex arrangement of these cues that directs axon extension through a series of intermediate targets before growth cones recognise their final target, cease migration and structurally change to form a synapse. Key Concepts Historical theories of connectivity can be explained by the expression and action of guidance cues and their receptors upon growth cone behaviour. Growth cones are the sensory and motile apparatus of an axon that are required for proper target identification and formation of functional connections. Disruption of connectivity due to alterations in guidance cue expression during development can result in severe disorders. Guidance through inhibition is the predominant form of growth cone directional control. Some proteins traditionally known for their roles in pattern formation can also have important roles as axonal guidance cues.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".