Understanding the dynamics of naturalistic interactions with direct face-to-face contact and immediate time-continuous feedback (‘transparency’) is a central aim of the CRC. We will develop an integrated conceptual and methodological framework to elucidate behavioural and neural mechanisms of interactive decision-making in transparent settings. We will advance two complementary novel experimental platforms, the Dyadic Interaction Platform and the Exploration Room Platform, and share them across several CRC projects. The platforms will allow flexibly manipulating individual sensory and social information streams, and to integrate economic game theory with time-continuous sensorimotor decision-making and social signalling. Synergistically advancing these centralised platforms will facilitate the harmonisation of conceptual approaches between disciplines in this CRC.

Project members:
Igor Kagan (Project leader)
Decision and Awareness Group, German Primate Center
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Alexander Gail (Project leader)
Sensorimotor Group, German Primate Center
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Sebastian Möller (Postdoc)
Decision and Awareness Group, German Primate Center
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Zurna Ahmed (Associated Postdoc)
Sensorimotor Group, German Primate Center
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Ayuno Nakahashi (Associated Postdoc)
Sensorimotor Group, German Primate Center
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Studying social interactions and the underlying cognitive processes in humans and nonhuman primates requires observing and quantifying their behaviour, including body and head orientation, both in interactive lab settings and in the wild. The goal of this project is to develop methods for automated, video-based recognition, motion tracking, and pose estimation of individual nonhuman primates as well as recognition of action types and inter-agent interactions in groups of primates freely moving in the wild. The resulting Action Capture Platform will be highly beneficial for most projects in this CRC.

Project members:
Florentin Wörgötter (Project leader)
Computational Neuroscience, University of Göttingen
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Alexander Ecker (Project leader)
Neural Data Science Group, University of Göttingen
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Timo Lüddecke (Associated Researcher)
Neural Data Science Group, University of Göttingen
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Felix Benjamin Müller (PhD student)
Neural Data Science Group, University of Göttingen
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Matthias Nuske (PhD Student)
Computational Neuroscience, University of Göttingen
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Jan Frederic Meier (Associated researcher)
Neural Data Science Group, University of Göttingen
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This project will provide the CRC with integrated research data management and processing solutions focusing on (i) a cross-project research database and interfaces to data analytics portals for data from field studies, and (ii) a video data processing pipeline for training deep neural networks. The pipeline will connect local data sources from nine projects within the CRC with GPU-based central high-performance computing systems to train algorithms for automated data extraction from video streams.

Project members:
Philipp Wieder (Project leader)
Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG)
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Georgios Kaklamanos
Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG)
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Muhammad Abu Bakar
Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG)
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