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Record W2037436509 · doi:10.3791/4464

May 2012: This Month in JoVE

2012· article· en· W2037436509 on OpenAlexaff
Aaron Kolski‐Andreaco

Bibliographic record

VenueJournal of Visualized Experiments · 2012
Typearticle
Languageen
FieldHealth Professions
TopicNoise Effects and Management
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsBiological motionPath integrationVestibular systemMultisensory integrationMovement (music)Sensory systemComputer scienceCommunicationPerceptionPsychologyComputer visionMotion (physics)Artificial intelligenceNeurosciencePhysicsAcoustics

Abstract

fetched live from OpenAlex

The May issue of JoVE (Journal of Visualized Experiments) includes a handful of articles that deal with the senses and perception. Specifically, articles involving gustation (taste), olfaction (smell), nociception (pain), and the vestibular senses (balance and inertial movement) will be released. The vestibular system is important for perceiving inertial movement, and inertial information is an important component of path integration. Path integration is a process by which the brain integrates multisensory information during movement, so that we maintain a sense of our body’s position, relative to a starting point. In nature, many organisms make use of this process, in order to find their way back to their nests or burrows after looking for food. This May, JoVE will publish a method filmed at the Max Plank Institute of Biological Cybernetics , which explores how path integration occurs in three dimensions. Most studies of this phenomenon are conducted in two dimensions, but thanks to a motion simulator with a large range of motion, path integration can be assessed in the horizontal and vertical planes. By controlling the sensory stimuli delivered to subjects in this device, our authors can dissect the relative contributions of visual and inertial information to estimations of starting position. Through an elegantly designed series of experiments, these investigators find that subjects are more likely to overestimate angles of movement in the horizontal plane versus the verticals. They also find that subjects were slower to point to the starting position when they had to rely only on inertial stimuli. The underlying neuronal mechanism behind path integration is poorly understood, and further experiments using this system will provide insight into how humans maintain spatial orientation during movement, which has implications that range from understanding vestibular disorders and training better pilots. Concerning gustation, JoVE will publish a procedure for isolating and culturing human fungiform taste cells this May. Back in 2010, we published an article that dealt with isolation of human fungiform papillae – a subtype of the tiny stuctures on our tongues that contain tastebuds. While papillae collection is suitable for acute experiments, long-term studies of taste cells require them to be isolated and cultured. For the first time ever reported, our authors demonstrate the isolation and culture of human fungiform taste cells and show that they can be maintained in culture for up to 8 passages, or one year. The ability to culture these cells for an extended period of time enables studies of proliferation and regeneration, and obviates the need to repeatedly collect papillae from donors. Regarding olfaction, JoVE will release an article from the Department of Agriculture, which describes an experiment that transforms the antennae of insects into a screening tool for new pesticide alternatives. After isolating plant volatile compounds via gas chromatography and mass spectrometry, these investigators screen the compounds for biological activity using the electroantennagram (EAG). Because not all of the volatile compounds emitted by plants elicit biological responses, such a bioassay is incredibly important for finding candidate molecules that can affect insect behavior. In turn, behavioral experiments, can determine whether or not a plant volatile can attract an insect. Plant volatile attractants can be used to confuse insects and potentially could serve as a safe alternative to pesticides. Thermal nociception, or the perception of noxious thermal stimuli, is the focus of an article from the University of Texas this May. Specifically, thermal nociception is investigated in Drosophila larvae using two methods: the heat probe assay and the heat plate assay. Interestingly, for both methods, larvae must first be treated with UV radiation to induce tissue damage and sensitize thermal nociceptive neurons, which usually respond with a very high threshold. As its name implies, the heat probe assay, uses a custom-built thermal probe to locally administer thermal stimuli. Nociception is quantified by recording the latency between stimulus onset and withdraw behavior. Intuitively, the second method, or heat plate assay, involves placing drosophila larvae on a heating plate within a drop of water to test whole body responses to noxious heat. Upon placement, drosophila exhibit a series of characteristic behaviors including rolling, whipping, or even seizure-like activity. When combined with genetic manipulation, these assays can provide information about the genes underlying thermal nociception – a highly conserved process, from larvae to mammals. Naturally, an exploration of the senses is not all JoVE has to offer this may. Other notable publications involve painting the pancreas to maintain orientation during histology, using an automated operant device to test multi-cognitive functions in mice, examining tamoxifen-induced apoptosis using timelapse video microscopy, and creating a convenient tool for fishing out lost samples from liquid nitrogen tanks. Stay tuned.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.639
Threshold uncertainty score0.515

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0030.002
Science and technology studies0.0030.001
Scholarly communication0.0120.006
Open science0.0020.005
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.6390.434

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.

Opus teacher head0.080
GPT teacher head0.554
Teacher spread0.475 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

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".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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