Closed-Loop Technologies - Coordinator: Lutz Wiegrebe
Recent hard- and software advances make it possible to integrate rapid online data analysis, adaptive sampling techniques, and computational modelling into the design of neuroscience experiments. The broad range of such approaches at the Bernstein Center Munich – from dynamic clamp (A2) and iso-response methods (A3, B2) to virtual reality (A3, B3, B5, D1, D2, PC, PD) – makes it possible to discuss methodological issues and transfer expert knowledge between different levels of investigation. The primary goal is to improve the design of experiments, addressing issues such as optimal spatio/temporal averaging of data and the stability of experimental feedback loops, which, in turn, may lead to new insight about closed-loop situations in neurobiological and artificial systems, the interaction of visual processing and eye movements (B1), and course control (C3).
Overview of relevant projects
B3: Auditory invariance against space-induced reverberation (L. Wiegrebe, B. Grothe & C. Leibold)
B5: Temporal aspects of spatial memory consolidation (S. Gais, S. Glasauer & C. Leibold)
B-T2:Learning the reflection characteristics of rooms (B.U. Seeber & M. Kleinsteuber)
B-T3: Proprioceptive stabilization of the auditory world (P. MacNeilage, U. Firzlaff & L. Wiegrebe)
D2: Visual-vestibular and visuo-visual cortical interaction (T. Brandt, L. van Hemmen & S. Glasauer)
