1,721,274 research outputs found
Dynamic re-calibration of perceived size in fovea and periphery through predictable size changes
Full text link<p>Dataset relative to the following publication:</p>
<p>Valsecchi, M. & Gegenfurtner, K.R (2016). Dynamic re-calibration of perceived size in fovea and periphery through predictable size changes. Current Biology, 26, 59-63.</p>
<p>Each folder contains the data relative to one experiment and the script that was used to generate them. </p>
<p>Each data folder contains a description of the data format which should be sufficient to replicate the analyses as performed in the paper. </p>
<p>Additional info can be deducted fromt he experimental scripts.</p>
Saccadic suppression measured by steady-state visual evoked potentials
Full text link<p>Dataset related to the following publication:</p>
<p>Chen, J., Valsecchi, M. & Gegenfurtner, K.R. (2019). Saccadic suppression measured by steady-state visual evoked potentials. <em>Journal of Neurophysiology, DIO: 10.1152/jn.00712.2018</em></p>
<p>Please refer to "data description.txt" for details about the data. </p>
Role of motor execution in the ocular tracking of self-generated movements
Full text link<p>Dataset relative to the following publication:</p>
<p>Chen, J., Valsecchi, M. & Gegenfurtner, K.R. (2016). Role of motor execution in the ocular tracking of self-generated movements. <em>Journal of Neurophysiology, </em>DOI: 10.1152/jn.00574.2016</p>
<p>Please refer to "data description.txt" for details about the data. Additional information can be deducted from the experimental scripts.</p>
Attention is allocated closely ahead of the target during smooth pursuit eye movements: evidence from EEG frequency tagging
Full text link<p>Dataset relative to the following publication:</p>
<p>Chen, J., Valsecchi, M. & Gegenfurtner, K.R. (2017). Attention is allocated closely ahead of the target during smooth pursuit eye movements: Evidence from EEG frequency tagging. <strong>Neuropsychologia</strong>, doi: 10.1016/j.neuropsychologia.2017.06.024.</p>
<p>Please refer to "data description.txt" in each experiment for details about the data. </p>
Enhanced brain responses to color during smooth pursuit eye movements
No full text<p>Dataset relative to the following publication:</p>
<p>Chen, J., Valsecchi, M. & Gegenfurtner, K.R. (2017). Enhanced brain responses to color during smooth pursuit eye movements. <em>Journal of Neurophysiology, </em>DOI: 10.1152/jn.00208.2017</p>
<p>Please refer to "data description.txt" for details about the data. </p>
LRP predicts smooth pursuit eye movement onset during the ocular tracking of self-generated movements
No full text<p>Dataset relative to the following publication:</p>
<p>Chen, J., Valsecchi, M. & Gegenfurtner, K.R. (2016). LRP predicts smooth pursuit eye movement onset during the ocular tracking of self-generated movements. <em>Journal of Neurophysiology, </em>in press</p>
<p>Each folder contains the data relative to one experiment and the script that was used to generate them. Please refer to "Description on data format.txt" for the usage of the data.</p>
<p>Additional information can be deducted from the experimental scripts.</p>
Screen size matches of familiar images are biased by canonical size, rather than showing a memory size effect
No full textBeing confronted with the depiction of a familiar object activates a number of properties of the object that are stored in memory. Memory properties such as color and size have been shown to interfere with the processing of the color and of the size of the depiction, so that that reaction times are longer when the color or size of the depiction are incongruent with the stored knowledge about the object. In the case of color, it is known that the memorized information also affects the appearance of the depiction, for example when a gray banana appears slightly yellow, a phenomenon known as memory color effect. Here, I tested whether a memory size effect also occurs. To this aim, I conducted one experiment where observers matched either the screen size or the real-world size of pairs of animals or vehicles. The results indicate that the screen matches are biased in the same direction as the real-world size matches, opposite of what would be predicted by a memory color effect. This result was replicated in a second experiment using a different and larger set of animal images. Overall, I confirm that observers cannot ignore the real-world size information when they attempt to match the screen size of two items, although this results in a bias towards the canonical size of the items, rather than in a memory size effect
Learning to resist distraction by spatially predictable luminance transients and color singletons: same or different mechanisms?
No full textStimuli that appear abruptly in the visual field or differ from the surrounding stimuli based on a given visual feature can capture attention and interfere with the visual search process if they are not targets. When both types of distractors appear with higher likelihood at a given location, observers can learn to reduce their impact (distractor-location effect). In the case of feature-singleton distractors, this can imply a cost for processing targets that appear at locations associated with a high distractor probability (target-location effect). This has been proposed as evidence that distractor interference originates in the competition between distractors and targets within an attentional map, whose inputs can be modified by experience. In this study, we conduct a series of experiments that confirmed previous finding related to feature-singleton distractors, but consistently showed that learning to predict the spatial occurrence of luminance transients induces a distractor-location effect in the absence of a target-location effect. Combining this finding with the fact that interference by luminance transients were larger when distractors were far from the target position, we suggest that different mechanisms are responsible for the reduction of distractor interference in the case of color singletons and luminance transients
Microsaccadic responses in a bimodal oddball task
No full textIn a visual oddball task the presentation of rare targets induces a prolonged microsaccadic inhibition as compared to standards. Here, we replicated this effect also in the auditory modality. In addition, although auditory standards induced a more limited modulation of microsaccadic frequency as compared to visual standards, auditory oddballs induced a prolonged microsaccadic inhibition. With bimodal standard stimuli the microsaccadic response was determined by the attended modality, resembling that produced by attended unimodal stimuli. The present findings support the idea that the microsaccadic response to oddball and standard stimuli is partly driven by cognitive mechanisms common to both the visual and the auditory modality, and that microsaccades can be used as an implicit behavioral measure of ongoing cognitive processes. © 2008 Springer-Verlag
Microsaccadic Response to Visual Events That Are Invisible to the Superior Colliculus
No full textEven when people think their eyes are still, tiny fixational eye movements, called microsaccades, occur at a rate of ∼1 Hz. Whenever a new (and potentially dangerous) event takes place in the visual field, the microsaccadic frequency is at first inhibited and then is followed by a rebound before the frequency returns to baseline. It has been suggested that this inhibition-rebound response is a type of oculomotor reflex mediated by the superior colliculus (SC), a midbrain structure involved in saccade programming. The present study investigated microsaccadic responses to visual events that were invisible to the SC; the authors recorded microsaccadic responses to visual oddballs when the latter were equiluminant with respect to the standard stimuli and when both oddballs and standards were equiluminant with respect to the background. Results showed that microsaccadic responses to oddballs and to standards were virtually identical both when the stimuli were visible to the SC and when they were invisible to it. Although the SC may be the generator of microsaccades, this research suggests that the specific fixational oculomotor activity in response to visual events can be controlled by other brain centers. © 2007 American Psychological Association
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