74 research outputs found
Dataset from Huang, J., Hegele, M., & Billino, J. (2018). Motivational modulation of age-related effects on reaching adaptation. Frontiers in Psychology, 9, 2285. doi: 10.3389/fpsyg.2018.02285
No full textDataset associated with the following publication:
Huang, J., Hegele, M., & Billino, J. (2018). Motivational modulation of age-related effects on reaching adaptation. Frontiers in Psychology, 9, 2285. doi: 10.3389/fpsyg.2018.02285
--------------------------------------------------------------
We provide two data folders, each containing a data file and a description file giving the column labels.
The folder MotReachAdapt_total provides information on the total sample in order to illustrate the exclusion of single participants.
For exclusion criteria please see the manuscript.
The folder MotReachAdapt_final provides full data for our final sample on which analyses are based.
-------------------------------------------------------------
For further questions, please contact:
jutta.billino[at]psychol.uni-giessen.de
</p
Perceiving animacy from shape
No full text<p>Dataset relative to the following publication:</p>
<p>Schmidt, F., Hegele, M., & Fleming, R. W. (2017). Perceiving animacy from shape. <em>Journal of Vision, 17,</em> 10. <a href="http://dx.doi.org/10.1167/17.11.10">http://dx.doi.org/10.1167/17.11.10</a></p>
<p>Each folder contains the data relative to one experiment and a text file with comments.</p>
Data and Code for "A primitive-based representation of dance: Modulations by experience and perceptual validity"
No full textMotion capture data (.BVH and .C3D) and code for "A primitive-based representation of dance: Modulations by experience and perceptual validity". Code includes the Temporal movement primitive model (requires PyTorch; https://pytorch.org) and code for a Bayesian ANCOVA (requires PyMC; https://www.pymc.io).Bundeslände
Data and Code for "Dancing through the Uncanny Valley: On the likeability of model-generated dance movements"
No full textData and code for "Dancing through the Uncanny Valley: On the likeability of model-generated dance movements". Data includes Motion capture data (.BVH and .txt), electrodermal activity (EDA/EDASignals.csv) and likeability ratings. Code includes the Temporal movement primitive model (requires PyTorch; https://pytorch.org) and models for the likeability ratings (requires PyMC; https://www.pymc.io).
Temporal movement primitives can be learned by providing Code/TMP_model.py the processed Joint angles (contained in the .bvh-files in the folder Data/MotionCapture). Models for the likeability ratings can be trained by providing Code/ModelComparisonRatingDiffs.py the data contained in Data/Ratings/Ratings.csv.Deutsche Forschungsgemeinschaft (DFG); ROR-ID:018mejw64Bundeslände
Time matters - The effect of time delays before and after goal directed reaching in visuomotor adaptation
No full textThrough movement, we as humans can interact with our environment. Every movement takes place in a certain temporal context, because the right movement at the wrong time or the right movement coordinated differently in time can lead to a completely different, possibly wrong result. But not only the timing of the individual motor commands is important, also differences in the available time for the neuronal processes underlying the movement, such as movement planning or evaluation, can have an enormous influence. Time itself is often one of the most important variables in behavioral experiments, but also one of the most difficult ones to control.
Thematically, this thesis focuses on the separation of adaptation into an explicit and an implicit component, and how through the manipulation of different time intervals in visuomotor rotation tasks, these can influence computational principles of visuomotor adaptation. First of, drawing on the example of the incomplete asymptote of adaptation, a phenomenon that shows that participants in such trials compensate for perturbation but usually leave a substantial residual error. It has been shown that this residual error is magnified when the time available for planning and preparing the movement is artificially reduced. This thesis shows that prolonging preparation time affects the asymptote in a similar way and can be the solution to overcoming residual errors. Furthermore, some studies have been able to show that a time delay of movement feedback leads to explicit processes becoming prevalent. Under this premise, this thesis investigated the phenomenon of temporal discounting of reward and showed that the explicit component can in fact overcome discounting. As most of the studies use some form of direct methods to measure for the explicit and implicit participation of adaptation, last but not least, this thesis attempted to use EEG, more specifically an event related potential, the feedback related negativity, as a proxy for mapping explicit and implicit processes at the neuronal level
Dataset supporting "Violating instructed human agency: an fMRI study on oculomotor tracking of biological and nonbiological motion stimuli."
No full text<p>Here we provide fMRI data used for the following project (for details see data description file): Gertz, H., Hilger, M., *Hegele, M., & *Fiehler, K. (2016). Violating instructed human agency: an fMRI study on oculomotor tracking of biological and nonbiological motion stimuli. Neuroimage, doi: 10.1016/j.neuroimage.2016.05.043. (*shared last authorship)</p>
<p> </p>
<p>Previous studies have shown that beliefs about the human origin of a stimulus are capable of modulating the coupling of perception and action. Such beliefs can be based on top-down recognition of the identity of an actor or bottom-up observation of the behavior of the stimulus. Instructed human agency has been shown to lead to superior tracking performance of a moving dot as compared to instructed computer agency, especially when the dot followed a biological velocity profile and thus matched the predicted movement, whereas a violation of instructed human agency by a nonbiological dot motion impaired oculomotor tracking (Zwickel et al., 2012). This suggests that the instructed agency biases the selection of predictive models on the movement trajectory of the dot motion. The aim of the present fMRI study was to examine the neural correlates of top-down and bottom-up modulations of perception–action couplings by manipulating the instructed agency (human action vs. computer-generated action) and the observable behavior of the stimulus (biological vs. nonbiological velocity profile). To this end, participants performed an oculomotor tracking task in an MRI environment. Oculomotor tracking activated areas of the eye movement network. A right-hemisphere occipito-temporal cluster comprising the motion-sensitive area V5 showed a preference for the biological as compared to the nonbiological velocity profile.Importantly,a mismatch between instructed human agency and a nonbiological velocity profile primarily activated medial-frontal areas comprising the frontal pole, the paracingulate gyrus, and the anterior cingulate gyrus, as well as the cerebellum and the supplementary eye field as part of the eye movement network. This mismatch effect was specific to the instructed human agency and did not occur in conditions with a mismatch between instructed computer agency and a biological velocity profile. Our results support the hypothesis that humans activate a specific predictive model for biological movements based on their own motor expertise. A violation of this predictive model causes costs as the movement needs to be corrected in accordance with incoming (nonbiological) sensory information.</p>
The impact of augmented information on visuo-motor adaptation in younger and older adults.
No full textBACKGROUND: Adjustment to a visuo-motor rotation is known to be affected by ageing. According to previous studies, the age-related differences primarily pertain to the use of strategic corrections and the generation of explicit knowledge on which strategic corrections are based, whereas the acquisition of an (implicit) internal model of the novel visuo-motor transformation is unaffected. The present study aimed to assess the impact of augmented information on the age-related variation of visuo-motor adjustments. METHODOLOGY/PRINCIPAL FINDINGS: Participants performed aiming movements controlling a cursor on a computer screen. Visual feedback of direction of cursor motion was rotated 75 degrees relative to the direction of hand motion. Participants had to adjust to this rotation in the presence and absence of an additional hand-movement target that explicitly depicted the input-output relations of the visuo-motor transformation. An extensive set of tests was employed in order to disentangle the contributions of different processes to visuo-motor adjustment. Results show that the augmented information failed to affect the age-related variations of explicit knowledge, adaptive shifts, and aftereffects in a substantial way, whereas it clearly affected initial direction errors during practice and proprioceptive realignment. CONCLUSIONS: Contrary to expectations, older participants apparently made no use of the augmented information, whereas younger participants used the additional movement target to reduce initial direction errors early during practice. However, after a first block of trials errors increased, indicating a neglect of the augmented information, and only slowly declined thereafter. A hypothetical dual-task account of these findings is discussed. The use of the augmented information also led to a selective impairment of proprioceptive realignment in the younger group. The mere finding of proprioceptive realignment in adaptation to a visuo-motor rotation in a computer-controlled setup is noteworthy since visual and proprioceptive information pertain to different objects
A Case for Sensorimotor Simulation as a Basis for the Animate–Inanimate Distinction in Infancy
No full textIn this opinion paper, we aim to delineate the development of the person–object differentiation in visuomotor behavior as established during the first two years of life, which can be conceived as a precursor for the broader distinction between animate and inanimate entities, which in turn form the basis of the more inclusive biological–nonbiological distinction (Poulin-Dubois, Lepage, & Ferland, 1996). We then discuss embodied sensorimotor simulation, which allows us to use the self as a model for perceiving objects in our environment, as a potential mechanism underlying this distinction.</jats:p
- …
