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Background

Göttingen inheres numerous excellent scientific institutions working on key aspects of neural adaptivity and dynamic plasticity. The spectrum of phenomena studied ranges from rapid changes of synaptic transmission between individual nerve cells, to the electrophysiological correlates of attention, and to psychophysical studies of human perception. In particular, past achievements of computational neuroscience research in Göttingen include e.g.
  • microscopic models of synaptic transmission (Trommershäuser et al. Biophys J 2003)

  • mathematical models for neural information processing operating with millisecond precision (Diesmann et al., Nature1999)

  • highly precise methods for the analysis of brain imaging data, used to demonstrate for the first time the impact of genetic factors on the layout of visual cortical circuits (Kaschube et al., J Neurosci. 2002)

  • conceptional models for the attentional modulation of visual cortical activity (Martinez-Trujillo & Treue, Neuron 2002)

  • predictions on universal dynamical signatures of activity-dependent pattern formation in the visual cortex (Wolf et al., Nature 1996; Wolf & Geisel, Nature 1998)

  • computational tools to discern and quantify the interactions between nerve cells in the living brain with high temporal resolution (Grün et al., Biol Cyb 2003)

  • model for topological speed limits to network synchronization (Timme et al., PRL 2004)

  • mathematical models for symmetry, multistability, andlong-range interactions in brain development (Wolf, PRL 2005)

  • fundamental studies on unique features of action potential initiation in cortical neurons (Naundorf et al., Nature 2006)

  • innovative technique for in situ background estimation in quantitative fluorescence imaging (Chen et al., Biophysical Journal 2006)

  • new sensor-driven neuronal controller with real-time online learning for fast biped walking (Geng at al., The International Journal of Robotic Research 2006)