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57 results for “illusions”
Data to "The Sequential-Weight Illusion"
<p>This record contains experimental and analysis scripts (written in Matlab) as well as raw and processed data to reproduce the results shown in:</p> <p><strong>Maiello, G</strong>., Paulun, V. C., Klein, L. K., & Fleming, R. W. (2018). The Sequential-Weight Illusion. <em>i-Perception, 9</em>(4), 1-6</p> <p> </p>
Raw data of: "Controlling Hand Movements Relying on Tactile Illusions: A Model Predictive Control Framework"
<p>in Fig4_a.txt: raw the data for the plot of Fig4_a (x and y of the first simulated trajectory from trajectory 1 to 50)</p> <p>in Fig4_b.txt: raw the data for the plot of Fig4_b </p> <p>in Fig4_c.txt raw the data for the plot of Fig4_b. Each column corresponds to the optimal angle of the plate for each of the 50 trajectories simulated in Fig4_a</p>
Figure 1. Necker cube depth illusion (Adapted from [http://en.wikipedia.org/wiki/Necker_cube])-Gestalt Processing in Human-Robot Interaction: A Novel Account for Autism Research
<p>Often the term Gestalt is used interchangeably with the term “emergent whole” (Johansson,<br> 1998). The emergence of a cognitive Gestalt structure adds dynamical and psychophysical forces,<br> which are different from the static notion of the “emergent whole”. An eminent example for the<br> dynamic nature of the emergent process is the Necker cube, which cannot be perceived as static, but<br> rotates in front of our eyes to the complete exhaustion of the eye gazing process (figure 1).</p>
A haptic illusion created by gravity - Data and Codes
<p>Dataset and code related to the study <em>A haptic illusion created by gravity</em> by Opsomer L, Delhaye BP, Théate V, Thonnard J-L, and Lefèvre P.</p>
The symmetry-induced numerosity illusion depends on visual attention
<p>For the ST, ST-WD: each file contains a matrix called “a”. Each row of the matrix “a” is a trial. </p> <p>The columns contain the following information:</p> <ul> <li>1st: Numerosity of test stimulus</li> <li>2nd: Log10 of numerosity of test stimulus divided by the standard numerosity</li> <li>3rd: Participant response (0 = standard stimulus; 1 = test stimulus)</li> <li>4th: 200</li> <li>5th: Standard numerosity </li> <li>6th: Dots size in pixels</li> <li>7th: 10</li> <li>8th: Condition (0= symmetry condition; 1= random condition)</li> <li>9th: Standard-Test order (1 = standard first; 2 = standard second)</li> <li>10th: Response time</li> <li>11th: -99</li> <li>12th: -99</li> <li>13th: -99</li> <li>14th: 0</li> </ul> <p>For the DT: each file contains a matrix called “a”. Each row of the matrix “a” is a trial. </p> <p>The columns contain the following information:</p> <ul> <li>1st: Numerosity of test stimulus</li> <li>2nd: Log10 of numerosity of test stimulus divided by the standard numerosity</li> <li>3rd: Participant response (0 = standard stimulus; 1 = test stimulus)</li> <li>4th: 200</li> <li>5th: Standard numerosity </li> <li>6th: Dots size in pixels</li> <li>7th: 10</li> <li>8th: Condition (0= symmetry condition; 1= random condition)</li> <li>9th: Standard-Test order (1 = standard first; 2 = standard second)</li> <li>10th: Response time to the numerosity task</li> <li>11th: Response to the color-conjunction task (1: target; 0: no-target)</li> <li>12th: code of color-conjuction stimulus presented onscreen</li> <li>13th: Accuracy to the color-conjuction task (1:correct; 0:wrong)</li> <li>14th: 1</li> </ul>
Optical Illusion - Following Eyes
Rotate the model (but not too much) and the dinosaur's eyes will follow. 3D scan made from still frames from this video by [brusspup](https://www.youtube.com/channel/UCeQEKFH31vvD-InkTGSvCrA) : https://www.youtube.com/watch?v=A4QcyW-qTUg Source: Objaverse 1.0 / Sketchfab
Investigating Mechanisms Underlying Spinal Cord Stimulation Efficacy Using Virtual Reality and Full Body Illusion
ClinicalTrials.gov study NCT02970006. IPD Sharing: NO. Countries: 1. Publications: 1.
Prey exploits the auditory illusions of eavesdropping predators
<p>Mating signals have evolved to attract target receivers, even to the point of exploiting receivers through perceptual manipulation. Signals, however, can also expose signalers to non-target receivers, including predators and parasites, and thus have also evolved to decrease enemy attraction. Here we show that male treefrogs (<i>Smilisca sila</i>) reduce their attractiveness to eavesdropping enemies (bats and midges) by overlapping their calls at near-perfect synchrony with the calls of neighboring conspecifics. By producing calls that closely follow those of other males, synchronizing <i>S. sila</i> take advantage of an auditory illusion where enemies are more attracted to the leading call. Female <i>S. sila</i>, however, are not as susceptible to this illusion. Thus, synchronization among signaling males can result in acoustic crypsis from predators without affecting female attraction. Given the widespread use of conspicuous mating signals and eavesdropping enemies, perceptual exploitation of eavesdroppers is likely a common driver of signal evolution.</p>
Data from: The evolution of anti-bat sensory illusions in moths
Prey transmit sensory illusions to redirect predatory strikes, creating a discrepancy between what a predator perceives and reality. We use the acoustic arms race between bats and moths to investigate the evolution and function of a sensory illusion. The spinning hindwing tails of silk moths (Saturniidae) divert bat attack by reflecting sonar to create a misleading echoic target. We characterized geometric morphometrics of moth hindwings across silk moths, mapped these traits onto a new, robust phylogeny, and found that elaborated hindwing structures have converged on four adaptive shape peaks. To test the mechanism underlying these anti-bat traits, we pit bats against three species of silk moths with experimentally altered hindwings that created a representative gradient of ancestral and extant hindwing shapes. High-speed videography of battles reveals that moths with longer hindwings and tails more successfully divert bat attack. We postulate that sensory illusions are widespread and are underappreciated drivers of diversity across systems.
Optical illusion
This is a optical illusion made by M.C. Escher Source: Objaverse 1.0 / Sketchfab
Strong perceptual consequences of low-level visual predictions: a new illusion
<p>Experimental data.</p>
A mass-density model can account for the size-weight illusion
<p>Dataset from the following publication:</p> <p>Wolf, C., Bergmann Tiest, W.M., & Drewing, K. (2018). A mass-density model can account for the size-weight illusion. <em>Plos One</em>.</p> <p>Each folder contains the data belonging to the corresponding experiment in the publication. Data sheets are xls files.</p> <p>Each data folder contains a description of the columns, i.e. variables in a separate txt file. In the data, every row corresponds to one trial. If a value is missing not applicable for a given trial, it is labelled as NaN ("not a number").</p> <p><br> For further questions, please contact:<br> chr.wolf[at]uni-marburg.de</p> <p><br> -- Jan 2nd 2018 --</p>
The Malleability of Body Representation in Anorexia Nervosa: the Sixth Finger Illusion
ClinicalTrials.gov study NCT06316674. IPD Sharing: UNDECIDED. Countries: 1. Publications: 8.
The Effect of the Rubber Hand Illusion on Sensory Thresholds
ClinicalTrials.gov study NCT04837443. IPD Sharing: NO. Countries: 1. Publications: 8.
Effect of Lower Extremity Joint Manipulation on a Lower Extremity Somatosensory Illusion
ClinicalTrials.gov study NCT05226715. IPD Sharing: NO. Countries: 1. Publications: 1.
Induced Motion Illusions Through Vision and Tendon Vibrations: Study of Interactions in Hemiplegic Subjects
ClinicalTrials.gov study NCT04449328. IPD Sharing: NO. Countries: 1. Publications: 1.
Enfacement Illusion and Chronic Migraine Pain
ClinicalTrials.gov study NCT04904458. IPD Sharing: NO. Countries: 1. Publications: 13.
Several Studys Showed That Upper Limb Amputated Patients Are Able to Experience the Illusion of the Rubber Hand Whith Prosthesis: We Want to go Futher by Comparing the Strength of the Incorporation Ac
ClinicalTrials.gov study NCT05931198. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Role of Retina in Mechanisms of Illusions and Visual Hallucinations Observed in Idiopathic Parkinson's Disease
ClinicalTrials.gov study NCT03454269. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Study of Cerebral Activation by fNIRS During Vibration-induced Illusion of Movement in Healthy and Stroke Participants.
ClinicalTrials.gov study NCT06218563. IPD Sharing: Not stated. Countries: 1. Publications: 14.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.