Handbook of Neuroendovascular Surgery. 2012. By Eric M. Deshaies, Christopher S. Eddleman, Alan S. Boulos. Published by Thieme Medical Publishers, Inc. 484 pages. C$110 approx.
Bibliographic record
Abstract
nervous systems are generated-from the DNA, mRNA-Protein bottom up-to understand neuronal integration and distribution of information.In the near future, all these laboratory wires and cables we have been working with; will be regarded as archaic with the incorporation of digital telemetry and GPS technology, that the new generation of neurophysiologists will wonder how on Earth, we managed to do any experiments in the past.As the authors said, it is no longer a dream; these techniques are here to stay in both, experimental and clinical settings, as it is the case of the event-related potentials.The authors also pledge to continue efforts to increase the dialogue between neurophysiologists and behavior and systems neuroscientists, to tackle the issue of directional navigation and place navigation and the role of the anterodorsal nucleus of the thalamus.After all, we have all the technological ingredients available, to make it happen, namely, chronic single unit recordings, refined behavioral analytical approaches and genetically engineered mice, to unveil the underpinnings of spatial navigation and the molecular substrate of head direction cells.Over the years, it has become abundantly clear that brain function is circuitry dependent.Therefore, additional synchronization and coherence studies are warranted, to improve our understanding of the dynamic interactions between cortical and subcortical structures, in any given circuit, from the elegant Papez's circuit, to the specific human and experimental seizure type circuits, were cognition is affected.The clinical relevance of these neuronal circuits is evident, with the recent advances of deep brain stimulation in neuropsychiatric disorders.The readers will be appreciative to the editors Robert P. Vertes and Robert W. Stackman, Jr., and all authors, for the sufficient theoretical background, methodological descriptions and clear illustrations and discussions, in every single chapter.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.108 | 0.115 |
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".