scholarly journals See an object, hear an object file: Object correspondence transcends sensory modality

2010 ◽  
Vol 9 (8) ◽  
pp. 724-724
Author(s):  
K. Jordan ◽  
K. Clark ◽  
S. Mitroff
Keyword(s):  
Sensory Modality ◽  
Object File ◽  
Object Correspondence

See an object, hear an object file: Object correspondence transcends sensory modality

2010 ◽  
Vol 18 (4) ◽  
pp. 492-503 ◽  
Author(s):  
Kerry E. Jordan ◽  
Kait Clark ◽  
Stephen R. Mitroff
Keyword(s):  
Sensory Modality ◽  
Object File ◽  
Object Correspondence

scholarly journals Testing an object file theory of object correspondence across saccades

2010 ◽  
Vol 6 (6) ◽  
pp. 486-486
Author(s):  
A. M. Richard ◽  
A. Hollingworth ◽  
S. J. Luck
Keyword(s):  
Object File ◽  
Object Correspondence ◽  
Object File Theory

Exploring object correspondence in dynamic displays

2009 ◽  
Author(s):  
Cathleen M. Moore ◽  
Teresa Stephens ◽  
Elisabeth Hein
Keyword(s):  
Object Correspondence

Rehabilitation of Post Stroke Sensory Dysfunction—A Scoping Review

2021 ◽  
pp. 251660852098429
Author(s):  
Dorcas B. C. Gandhi ◽  
Ivy Anne Sebastian ◽  
Komal Bhanot
Keyword(s):  
Motor Behavior ◽  
Sensory Modality ◽  
Sensory System ◽  
Sensory Stimulation ◽  
Current Evidence ◽  
Cochrane Library ◽  
Post Stroke ◽  
Sensory Dysfunction ◽  
Electronic Database Search ◽  
External Stimuli

Sensory dysfunction is one of the common impairments that occurs post stroke. With sensory changes in all modalities, it also affects the quality of life and incites suicidal thoughts. The article attempts to review and describe the current evidence of various approaches of assessment and rehabilitation for post-stroke sensory dysfunction. After extensive electronic database search across Medline, Embase, EBSCO, and Cochrane library, it generated 2433 results. After screening according to inclusion and exclusion criteria, we included 11 studies. We categorized data based on type of sensory deficits and prevalence, role of sensory system on motor behavior, type of intervention, sensory modality targeted, and dosage of intervention and outcome measures used for rehabilitation. Results found the strong evidence of involvement of primary and secondary motor areas involved in processing and responding to somatosensation, respectively. We divided rehabilitation approaches into sensory stimulation approach and sensory retraining approach focused on using external stimuli and relearning, respectively. However, with varied aims and targeted sensory involvement, the study applicability is affected. Thus, this emerges the need of extensive research in future for evidence-based practice of assessments and rehabilitation on post-stroke sensory rehabilitation.

scholarly journals Transfer effects in auditory temporal preparation occur using an unfilled but not filled foreperiod

2021 ◽  
pp. 174702182199545
Author(s):  
Emily M Crowe ◽  
Sander A Los ◽  
Louise Schindler ◽  
Christopher Kent
Keyword(s):  
Sensory Modality ◽  
Warning Signal ◽  
Convincing Evidence ◽  
Transfer Effects ◽  
Temporal Preparation ◽  
Memory Traces ◽  
Weak Evidence ◽  
Current Block ◽  
Visual Domain ◽  
Multiple Trace Theory

How quickly participants respond to a “go” after a “warning” signal is partly determined by the time between the two signals (the foreperiod) and the distribution of foreperiods. According to Multiple Trace Theory of Temporal Preparation (MTP), participants use memory traces of previous foreperiods to prepare for the upcoming go signal. If the processes underlying temporal preparation reflect general encoding and memory principles, transfer effects (the carryover effect of a previous block’s distribution of foreperiods to the current block) should be observed regardless of the sensory modality in which signals are presented. Despite convincing evidence for transfer effects in the visual domain, only weak evidence for transfer effects has been documented in the auditory domain. Three experiments were conducted to examine whether such differences in results are due to the modality of the stimulus or other procedural factors. In each experiment, two groups of participants were exposed to different foreperiod distributions in the acquisition phase and to the same foreperiod distribution in the transfer phase. Experiment 1 used a choice-reaction time (RT) task, and the warning signal remained on until the go signal, but there was no evidence for transfer effects. Experiments 2 and 3 used a simple- and choice-RT task, respectively, and there was silence between the warning and go signals. Both experiments revealed evidence for transfer effects, which suggests that transfer effects are most evident when there is no auditory stimulation between the warning and go signals.

scholarly journals Brain networks underlying the processing of sound symbolism related to softness perception

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ryo Kitada ◽  
Jinhwan Kwon ◽  
Ryuichi Doizaki ◽  
Eri Nakagawa ◽  
Tsubasa Tanigawa ◽  
...  
Keyword(s):  
Inferior Frontal Gyrus ◽  
Sensory Modality ◽  
Brain Regions ◽  
Sound Symbolism ◽  
Matching Task ◽  
Unique Contribution ◽  
Superior Frontal Gyrus ◽  
Symbolic Information ◽  
Object Properties ◽  
Imaging Experiment

AbstractUnlike the assumption of modern linguistics, there is non-arbitrary association between sound and meaning in sound symbolic words. Neuroimaging studies have suggested the unique contribution of the superior temporal sulcus to the processing of sound symbolism. However, because these findings are limited to the mapping between sound symbolism and visually presented objects, the processing of sound symbolic information may also involve the sensory-modality dependent mechanisms. Here, we conducted a functional magnetic resonance imaging experiment to test whether the brain regions engaged in the tactile processing of object properties are also involved in mapping sound symbolic information with tactually perceived object properties. Thirty-two healthy subjects conducted a matching task in which they judged the congruency between softness perceived by touch and softness associated with sound symbolic words. Congruency effect was observed in the orbitofrontal cortex, inferior frontal gyrus, insula, medial superior frontal gyrus, cingulate gyrus, and cerebellum. This effect in the insula and medial superior frontal gyri was overlapped with softness-related activity that was separately measured in the same subjects in the tactile experiment. These results indicate that the insula and medial superior frontal gyrus play a role in processing sound symbolic information and relating it to the tactile softness information.

scholarly journals Training-induced plasticity enables visualizing sounds with a visual-to-auditory conversion device

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jacques Pesnot Lerousseau ◽  
Gabriel Arnold ◽  
Malika Auvray
Keyword(s):  
Individual Differences ◽  
Visual Information ◽  
Sensory Modality ◽  
Sensory Substitution ◽  
Visual Images ◽  
Visual Functions ◽  
Tactile Stimuli ◽  
Before And After ◽  
Visual Distractors ◽  
Auditory Processes

AbstractSensory substitution devices aim at restoring visual functions by converting visual information into auditory or tactile stimuli. Although these devices show promise in the range of behavioral abilities they allow, the processes underlying their use remain underspecified. In particular, while an initial debate focused on the visual versus auditory or tactile nature of sensory substitution, since over a decade, the idea that it reflects a mixture of both has emerged. In order to investigate behaviorally the extent to which visual and auditory processes are involved, participants completed a Stroop-like crossmodal interference paradigm before and after being trained with a conversion device which translates visual images into sounds. In addition, participants' auditory abilities and their phenomenologies were measured. Our study revealed that, after training, when asked to identify sounds, processes shared with vision were involved, as participants’ performance in sound identification was influenced by the simultaneously presented visual distractors. In addition, participants’ performance during training and their associated phenomenology depended on their auditory abilities, revealing that processing finds its roots in the input sensory modality. Our results pave the way for improving the design and learning of these devices by taking into account inter-individual differences in auditory and visual perceptual strategies.

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