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Parallel Information Processing and Population Coding

Coordinator: Christian Leibold

To deal with the complexity of spatio-temporal stimuli, different stimulus attributes are often processed in parallel by neural populations. This raises the question how the computational load is distributed between the elementary units of larger processing modules, how the results of these computations are integrated across space and time to create consistent neural representations and how this is accomplished for dynamically varying input stimuli. The broad range of projects at the center allows us to compare population codes at various processing levels – from the sensory periphery and ascending pathways to central processing stages and (pre-)motor areas. Similarly, we are able to contrast coding principles in different auditory, visual, vestibular, somatosensory, and electrosensory model systems. Joint research about the role of feed-forward versus feedback processing also touches upon another aspect of the Center’s overarching research theme: how do neural systems synchronize the timing of internal information processing with the progression of time in the external world?

Related Projects

B-T5: Understanding the effects of temporal context on interval timing: a model-based approach. (A. Loebel, V. Flanagin, K. Thurley)

B-T6: Influence of sensory conditions on the hippocampal population code for space (K. Thurley, C. Leibold, A. Sirota)

C2: Novel coding strategies for cochlear implants: from fine time structures to sparse neural representations (I. Hochmair, L. Wiegrebe, W. Hemmert)

C4: How Neuronal Representations of Space-Time Lead to Action (L. van Hemmen & G. Cheng)

C5: Auditory scene analysis with normal hearing and cochlear implants (Bernhard Seeber & Werner Hemmert)

C-T3: Motor Control and Timing in the Cerebellum: Spatio-Temporal Integration in Complex Neuronal Networks (J. Conradt, F. Röhrbein, C. Richter)

D-T1: Efficient coding in the vestibular system (P. MacNeilage, M. Kleinsteuber)