The Impact of Stochastic and Deterministic Sounds on Visual, Tactile and Proprioceptive Modalities
Bibliographic record
Abstract
Stimulus localization and particularly directional hearing can be considered as methods for investigating neural activity and they have proven to be useful tools for research in physiology and psychology.Human directional hearing techniques have been reflected upon way back by Von Békésy in Austrian forests [1].For example, he observed that some of the roads took a perfectly straight course through deep, dark woods.He could not imagine how such straight roads had been cut through the forest when the usual optical methods used by road surveyors would seem to be useless in this case.Further some of these roads were very old and probably built before the introduction of the theodolite.Many of these roads were laid out by an acoustic method.How did they do it?A man stationed at the starting point noted the direction of the sound produced by someone at the other end blowing a horn.The first man then walked toward the sound source, marking the threes on the way.It turned out that this method produced a straight line from start to finish [1].From this observation Békésy was motivated to perform a series of studies on stimuli localization not limited to hearing but also to vibration sensations on the skin, electrical pulses on the tongue and odors through the nose as well.Strikingly, his results showed an underlying ubiquitous mechanism present in the different stimuli localization modalities.For instance, the effect on localization of the time delay between two stimuli on the skin, the tongue, the two nostrils in the nose and the two ears, presented the same dynamics [2-4].These results were quite exciting because it showed that, in humans, the senses work similarly for stimuli localization although the basic underlying neural pathways are not the same.It was this kind of general principle on stimuli localization that motivated us in the search for more general principles related to how senses interact to generate multisensory perceptions but with a special emphasis on auditory stimulation.This is known as multisensory integration and its study is very important because it is the foundation of how humans bind all the information coming from the senses to generate a coherent percept.We began by studying something that we called cross-modal stochastic resonance.This consists www.intechopen.com
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".