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Invariant Representations in Space & Time - Coordinator: Leo van Hemmen

Organisms operate in constantly changing environments. To do so, stimulus attributes need to be extracted that are invariant with respect to natural stimulus variations, such as the identity of a speaker regardless of the distance and acoustic environment of the sound source or the speed of a moving object irrespective of changes in viewing conditions. In fact, the very notion of an “object” implies that high-dimensional spatio-temporal input data are reduced to a low-dimensional description reflecting functional invariances. Studying invariant stimulus representations in space and time is thus a core research focus in the Bernstein Center Munich. The proper transformations may be innate or result from learning processes (B1), link space and time (B2, B3) as well as different modalities (B4) and act differently on the single-neuron versus systems level. Investigating these different aspects using various model organisms as well as whole-brain studies in humans (B5) will create tight interactions between the respective projects and stimulate the entire center.

Overview of relevant Projects

B1: Learning Invariant Representations From Retinal Activity (T. Wachtler & T. Gollisch)

B2: Coding of spatial and temporal information in a population of specialized auditory interneurons (A. Herz & J. Benda)

B3: Auditory invariance against space-induced reverberation (L. Wiegrebe, B. Grothe & C. Leibold)

B4: Multisensory object representation and integration in space-time (H. Luksch & L. van Hemmen)

B5: Temporal aspects of spatial memory consolidation (S. Gais, S. Glasauer & C. Leibold)

B-T1: Cerebellar control of eye motion dynamics: from animal model to patients. (H. Straka, S. Glasauer, D. Kutz & Michael Strupp)

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)

C-T1: Sensor Fusion in Cortical Circuits: Modeling and Behavioral Experiments in Man and Machine (J. Conradt & S. Glasauer)