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Browsing by Author "Pfarr, Julia-Katharina"

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    example_BIDSeyetracking
    (Institut de Neurosciences de la Timone) Szinte, Martin; Masson, Guillaume; Samonds, Jason; Priebe, Nicholas; Pfarr, Julia-Katharina
    Most vertebrates use head and eye movements to quickly change gaze orientation and sample different portions of the environment with periods of stable fixation. Visual information must be integrated across fixations to construct a complete perspective of the visual environment. In concert with this sampling strategy, neurons adapt to unchanging input to conserve energy and ensure that only novel information from each fixation is processed. We demonstrate how adaptation recovery times and saccade properties interact and thus shape spatiotemporal tradeoffs observed in the motor and visual systems of mice, cats, marmosets, macaques, and humans. These tradeoffs predict that in order to achieve similar visual coverage over time, animals with smaller receptive field sizes require faster saccade rates. Indeed, we find comparable sampling of the visual environment by neuronal populations across mammals when integrating measurements of saccadic behavior with receptive field sizes and V1 neuronal density. We propose that these mammals share a common statistically driven strategy of maintaining coverage of their visual environment over time calibrated to their respective visual system characteristics.
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    Publication
    TAM DataHub User Manual
    Lenze, Stefan; Pfarr, Julia-Katharina; Berger, Christian; Pietsch Andre; Brand, Ortrun; Endres, Dominik
    The DataHub is an infrastructure project of the "The Adaptive Mind" (TAM) cluster initiative in which research groups in the field of psychology and neuroscience, based at multiple hessian universities work together. Guided by the "FAIR" principles, the DataHub offers resources, services and support to affiliated researches on various levels to ease collaborative work: Central storage and compute resources, services like JupyterHub, TAM GitLab and the TAM DataHub Repository, which allow efficient usage of these resources, and support on how to use the services in a way that fits the needs of the individual project. In this manual, you will find an overview on the DataHub, introductions to individual resources and services and workflows to help you using the DataHub.