Projects during BMBF funding (2004-2017)

Research during the funding period of the German Ministry of Education and Research (BMBF) was topically subdivided in several branches.

Computational & Theoretical Methods: From Microscopic to Macroscopic Scales

Investigating sub-millisecond dynamics through single-spike probabilities (Herz)

Interaction of time-structured inputs and internal dynamics at the single-cell level (Heinemann, Herz, Schimansky-Geier, Schreiber)

Relating observations of in-vivo network dynamics at different spatio-temporal scales (Grün, Kempter, Obermayer)

Methods to investigate the hierarchical structure of neural dynamics with an application to a clinical EEG data base (Müller, Curio)

Converging different methodologies to assess interactions between brain regions (Obrig, Villringer, Obermayer)

Modeling Visual Cognition (Wichmann)


Local Computation - Molecules, Synapses, Neurons and Networks

Molecular modeling of enduring, bidirectional changes in synaptic strength (Kuhl, Schmitz, Herzel)

Short-term and long-term synaptic plasticity (Schmitz, Kempter)

Adaptation and plasticity in the adult visual system (Obermayer)

Continuous data-stream computation by a minibrain (Hennig, Ronacher, Herz)

Neural rhythms, synaptic plasticity, and network stability (Kempter, Schmitz, Heinemann)

The role of spike synchronization in olfactory coding, learning, and memory retrieval (Menzel, Grün, Nawrot)

The functional consequences of neurogenesis in the adult hippocampus (Kempermann, Wiskott)

Hippocampal subthreshold activity during spatial navigation (Brecht)

Reverse Physiology - Understanding neurons through single cell stimulation (Brecht)


Global Computation - Systemic Synthesis for Human Neuroscience

Stimulus, Genotype and Neurotransmitter Effects on Brain Activation: From Hierarchical Neuronal Systems to Systemic Disorders (Heinz, Obermayer)

Anatomical correlates and functional role of spontaneous EEG-rhythms investigated by simultaneous EEG-fMRI (Villringer, Ritter, Curio, Herz, Müller)

Control of visual attention: Psychophysics, fMRI, TMS, and modeling (Wiskott, Brandt)

Optimizing human performance through real-time EEG feedback (Curio, Müller)

Theory and Analysis of Large-Scale Brain Signals (Haynes)


Discharge patterning and variability in cellular neuroscience

Burst-Timing Dependent Plasticity (Schmitz, Kempter)

Spikelet Activity and Hippocampal Spatial Representations (Brecht, Kempter)

Dynamical Switching Between Network States in Hippocampal Area CA3 (L. Schimansky-Geier, T. Gloveli, U. Heinemann, S. Schreiber)

Theoretical Analysis of Hippocampal Memory Formation (Kempter)

Timescales of Synaptic Plasticity as a Basis for Learning and Memory (Sigrist, Blüthgen)

Precise Timing from Sloppy Rhythms – The Circadian Clock of the Olfactory Bulbs (Herzel, Kramer)

Unmixing of sensory channels encoding noxious mechanical and heat (Lewin, Schmuker, Brecht)

Coding Strategies in Unmyelinated Axons: Lessons from the Grasshopper Auditory System (Schreiber, Ronacher)

Computational Analysis of Modulatory Function in Small Motor Networks in Insects (Nawrot, Pflüger)

Neural Information Filtering (Lindner, Schreiber)

The Mathematical Analysis of Interacting Stochastic oscillators (Stannat)

Numerical Analysis and Simulation of Cooperative Phenomena in Interacting Stochstic Oscillators (Stannat)

Dynamics of inhomogeneous neural systems with nonlocal coupling (Hövel)


Prediction in human neuroscience and cognition

Spatiotemporal Modeling of Macroscopic EEG Rhythms (Curio, Müller)

Spreading Depolarizations in Stroke, Migraine, and Epilepsy: Theory and Experiment (Dahlem , Dreier, Schöll)

Perceptual Stability in the Face of Input Variability: Inferring Critical Features from Human Saccade Targets (Wichmann, Engbert)

The interaction of expectation and value in human visual cortex: Psychophysics, neuroimaging and computational modeling (Haynes, Obermayer, Brandt, Martin)

Reward-Motivated Learning and Memory across the Lifespan (Heinz, Obermayer)

Testing Predictive Coding as a Principle Mechanism for Perceptual Inference and Learning (Blankenburg, Kiebel, Kurths)

Large-scale neuronal models for functional networks of the human cortex (Hövel)


Participating Institutions

Charité Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Freie Universität Berlin, Technische Universität Berlin, Max-Delbrück-Centrum für Molekulare Medizin Berlin-Buch, Wissenschaftskolleg zu Berlin, Fraunhofer First, Universität Potsdam