Second type of criticality in the brain uncovers rich multiple-neuron dynamics von Dahmen, David, Grün, Sonja, Diesmann, Markus, Helias, Moritz

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Statistical Field Theory for Neural Networks von Helias, Moritz

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Transient Chaotic Dimensionality Expansion by Recurrent Networks von Keup, Christian, Kuehn, Tobias, Dahmen, David, Helias, Moritz

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Signal denoising through topographic modularity of neural circuits von Zajzon, Barna, Dahmen, David, Morrison, Abigail, Duarte, Renato

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Correlated Fluctuations in Strongly Coupled Binary Networks Beyond Equilibrium von Dahmen, David, Bos, Hannah, Helias, Moritz

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The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks von Gilson, Matthieu, Dahmen, David, Moreno-Bote, Ruben, Insabato, Andrea, Helias, Moritz

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Learning Interacting Theories from Data von Merger, Claudia, René, Alexandre, Fischer, Kirsten, Bouss, Peter, Nestler, Sandra, Dahmen, David, Honerkamp, Carsten, Helias, Moritz

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Global organization of neuronal activity only requires unstructured local connectivity von Dahmen, David, Layer, Moritz, Deutz, Lukas, Dąbrowska, Paulina Anna, Voges, Nicole, von Papen, Michael, Brochier, Thomas, Riehle, Alexa, Diesmann, Markus, Grün, Sonja, Helias, Moritz

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Decomposing neural networks as mappings of correlation functions von Fischer, Kirsten, René, Alexandre, Keup, Christian, Layer, Moritz, Dahmen, David, Helias, Moritz

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Event-Based Update of Synapses in Voltage-Based Learning Rules von Stapmanns, Jonas, Hahne, Jan, Helias, Moritz, Bolten, Matthias, Diesmann, Markus, Dahmen, David

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The Neuron vs the Synapse: Which One Is in the Driving Seat? von Dahmen, David

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Integration of Continuous-Time Dynamics in a Spiking Neural Network Simulator von Hahne, Jan, Dahmen, David, Schuecker, Jannis, Frommer, Andreas, Bolten, Matthias, Helias, Moritz, Diesmann, Markus

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Capacity of the covariance perceptron von Dahmen, David, Gilson, Matthieu, Helias, Moritz

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Capacity of the covariance perceptron von Dahmen, David, Gilson, Matthieu, Helias, Moritz

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Gell-Mann-Low Criticality in Neural Networks von Tiberi, Lorenzo, Stapmanns, Jonas, Kühn, Tobias, Luu, Thomas, Dahmen, David, Helias, Moritz

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Effect of Synaptic Heterogeneity on Neuronal Coordination von Layer, Moritz, Helias, Moritz, Dahmen, David

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Unified field theoretical approach to deep and recurrent neuronal networks von Segadlo, Kai, Epping, Bastian, van Meegen, Alexander, Dahmen, David, Krämer, Michael, Helias, Moritz

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Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks von Hagen, Espen, Dahmen, David, Stavrinou, Maria L., Lindén, Henrik, Tetzlaff, Tom, van Albada, Sacha J., Grün, Sonja, Diesmann, Markus, Einevoll, Gaute T.

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Dynamic Mean-Field Theory for Random Networks von Helias, Moritz, Dahmen, David

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Probabilities, Moments, Cumulants von Helias, Moritz, Dahmen, David

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