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Encoding Through Patterns: Regression Tree-Based Neuronal Population Models.

, , , , , and . Neural Computation, 25 (8): 1953-1993 (2013)

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Mapping of Visual Receptive Fields by Tomographic Reconstruction., , , , and . Neural Computation, 24 (10): 2543-2578 (2012)Encoding Through Patterns: Regression Tree-Based Neuronal Population Models., , , , , and . Neural Computation, 25 (8): 1953-1993 (2013)A Statistical Framework to Infer Delay and Direction of Information Flow from Measurements of Complex Systems., , , , and . Neural Computation, 27 (8): 1555-1608 (2015)Adaptive Blending Units: Trainable Activation Functions for Deep Neural Networks., , , , and . CoRR, (2018)Spatiotemporal Computations of an Excitable and Plastic Brain: Neuronal Plasticity Leads to Noise-Robust and Noise-Constructive Computations., and . PLoS Computational Biology, (2014)The Neuronal code: development of tools and hypotheses for understanding the role of synchronization of neuronal activity.. Berlin Institute of Technology, (2006)Importance of electrophysiological signal features assessed by classification trees., , , , and . Neurocomputing, 70 (10-12): 2017-2021 (2007)Homeostatic Plasticity for Single Node Delay-Coupled Reservoir Computing., , and . Neural Computation, 27 (6): 1159-1185 (2015)Single-Unit Recordings Revisited: Activity in Recurrent Microcircuits., , and . ICANN (1), volume 3696 of Lecture Notes in Computer Science, page 153-159. Springer, (2005)Zero-Lag Long Range Synchronization of Neurons Is Enhanced by Dynamical Relaying., , , and . ICANN (1), volume 4668 of Lecture Notes in Computer Science, page 904-913. Springer, (2007)