TAM DataHub

Repository for Research Data and Code Publication in Neuroscience and Psychology.

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This repository is an infrastructure service of The Adaptive Mind cluster of excellence (DFG EXC3066).
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Recent Submissions

Comparison of Resource-Rational Observer Models of Individual and Ensemble Spatial Perception
Tena Garcia, Yanina E.; Baltaretu, Bianca R.; Endres, Dominik; Fiehler, Katja
To better understand the underlying mechanisms of individual and ensemble perception in naturalistic scenes, we compared three bayesian resource-rational models on experimental data (from 27 healthy adults): the ’Individual Encoding Model’ (IEM), a variant of the summation model; the ’Ensemble Encoding Model’ (EEM), related to the automatic averaging model; and the ‘Task Adapted Encoding Model’ (TAEM), a flexible combination of both models that adapts to task demands. In the experiment, participants encoded and reproduced either an individual object position or an ensemble position (group centroid) in a 3D-rendered scene using a computer mouse. In both tasks, we manipulated set size (3, 6, 10 objects) and presentation time (50, 100, 800 ms). The EEM and TAEM generally explained the human behavioral data best. We conclude that, in naturalistic scenes, the choice between individual versus ensemble perception is likely driven by the more compact scene representation of the ensemble model.
Fear and Anxiety Differentially Reweight Control Objectives: Evidence from Inverse Optimal Control
Tahmineh A. Koosha; Fabian Hahne; Alap Kshirsagar; Nick Augustat; Jan Peters; Dominik M. Endres
Exposure to height induces pronounced changes in human postural behavior, yet the computational mechanisms underlying these adaptations remain unclear. Previous studies report both reduced and increased postural sway under height exposure leading to seemingly contradictory interpretations. Here, we apply inverse optimal control (IOC) to infer how control objectives governing postural behavior are reweighted under threat. Participants performed quiet standing in a virtual reality environment under ground and height conditions while joint-level kinematics were recorded. Postural control was modeled as a multi-joint optimal control problem with fixed dynamics, and condition-specific cost weights on joint velocity and control effort were inferred. Height exposure was associated with increased penalization of joint angular velocity and altered effort weighting, consistent with more conservative control strategies. Substantial inter-individual variability was observed. Moreover, anxiety-related measures were linked to increased control variability, whereas fear of heights and heart-rate change were associated with motion-suppressive control. We thus provide computational evidence for a functional dissociation between fear of heights and anxiety in human balance control.
A. koosha, Tahmineh
Tena Garcia, Yanina
Path integration from optic flow and the role of eye movements
Reisenegger, Renate; Bremmer, Frank

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