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Record W2614387839

Absolute cues support delayed tactile grasping only when the target object is touched

2014· article· en· W2614387839 on OpenAlexaff
Shirin Davarpanah Jazi, Stephanie Hosang, Matthew Heath

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldNeuroscience
TopicMotor Control and Adaptation
Canadian institutionsWestern University
Fundersnot available
KeywordsGRASPObject (grammar)Somatosensory systemPsychologyPerceptionCommunicationComputer visionSensory stimulation therapyComputer scienceArtificial intelligenceCognitive psychologySensory systemNeuroscience
DOInot available

Abstract

fetched live from OpenAlex

The somatosensory processing model (SPM) asserts that ventral and dorsal cortical pathways support tactile perceptions (relative cues) and actions (absolute cues), respectively. In accordance to SPM, our previous work showed that peak grip aperture (PGA) associated with grasping a tactile object presented on the palm of the hand was refractory to Weber’s law, whereas manual estimations elicited apertures that adhered to the law’s psychophysical principles. In other words, results support the SPM’s contention of dissociable tactile processing streams. In the present investigation, we sought to determine whether introducing a delay between target presentation and response initiation influences the tactile metrics supporting grasping control. Further, we were interested in determining whether subsequent tactile feedback from grasping the object influences the processing stream supporting grasping control. Therefore, we placed differently sized objects on participants’ (N=15) left palm for a 4,000ms tactile preview and subsequently asked participants to either grasp the object with their right hand immediately after the preview (i.e., closed-loop) or complete a pantomime-grasp once the object had been removed for a 2,000ms delay (i.e., memory-guided). In a third condition, following the pantomime grasp the object was repositioned on participants’ palm for them to physically grasp and receive terminal tactile feedback related to object size (i.e., memory-guided with feedback). We computed just-noticeable difference (JND) scores at the time of PGA. Results showed a null scaling of JNDs to object size in the closed-loop and memory-guided with feedback conditions, whereas a linear scaling of JNDs to object size was observed in the memory-guided task. These findings suggest that memory-guided grasping is mediated via relative and memory-based target representations supported by the ventral processing stream. In turn, results for the memory-guided with feedback condition demonstrate that the inclusion of terminal feedback supports the use of absolute tactile cues specified by the dorsal streams.Acknowledgments: Natural Sciences and Engineering Research Council

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.024
GPT teacher head0.250
Teacher spread0.226 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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
Published2014
Admission routes1
Has abstractyes

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