A neuronal learning rule for sub-millisecond temporal coding von Gerstner, Wulfram, Kempter, Richard, van Hemmen, J. Leo, Wagner, Hermann

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Modeling Neuronal Assemblies: Theory and Implementation von Eggert, J., Hemmen, J. L. van

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Models of Neural Networks von Domany, Eytan, Hemmen, J. Leo van, Schulten, Klaus

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Isometric and unitary phase operators: explaining the Villain transform von van Hemmen, J L, Wreszinski, Walter F

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Models of Neural Networks I von Domany, Eytan, Hemmen, J. Leo van, Schulten, Klaus

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Continuum limit of discrete neuronal structures: is cortical tissue an "excitable" medium? von Hemmen, J L van

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Spike-timing-dependent plasticity for neurons with recurrent connections von Burkitt, A N, Gilson, M, van Hemmen, J L

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Reaction mechanisms during plasma-assisted atomic layer deposition of metal oxides: A case study for Al2O3 von Heil, S. B. S., van Hemmen, J. L., van de Sanden, M. C. M., Kessels, W. M. M.

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What Matters in Neuronal Locking? von Gerstner, Wulfram, van Hemmen, J. Leo, Cowan, Jack D.

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Heidelberg Colloquium on Spin Glasses: Proceedings of a Colloquium held at the University of Heidelberg 30 May – 3 June, 1983 von Hemmen, J. L. van, Morgenstern, I

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Combined Hebbian development of geniculocortical and lateral connectivity in a model of primary visual cortex von Bartsch, A P, van Hemmen, J L

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Extracting Oscillations: Neuronal Coincidence Detection with Noisy Periodic Spike Input von Kempter, Richard, Gerstner, Wulfram, Hemmen, J. Leo van, Wagner, Hermann

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Why spikes ? Hebbian learning and retrieval of time-resolved excitation patterns von GERSTNER, W, RITZ, R, VAN HEMMEN, J. L

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Heidelberg Colloquium on Glassy Dynamics: Proceedings of a Colloquium on Spin Glasses, Optimization and Neural Networks Held at the University of Heidelberg June 9–13, 1986 von Hemmen, J. L. van, Morgenstern, I

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Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning von Kempter, Richard, Gerstner, Wulfram, Hemmen, J. Leo van

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A neuronal learning rule for sub-millisecond temporal coding von Gerstner, W, Kempter, R, van Hemmen, J L, Wagner, H

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Models of Neural Networks III: Association, Generalization, and Representation von Domany, Eytan, Hemmen, J. Leo van, Schulten, Klaus

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Downstream ion and radical densities in an Ar–NH3 plasma generated by the expanding thermal plasma technique von van den Oever, P J, van Hemmen, J L, van Helden, J H, Schram, D C, Engeln, R, van de Sanden, M C M, Kessels, W M M

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Reduction of the Hodgkin-Huxley Equations to a Single-Variable Threshold Model von Kistler, Werner M., Gerstner, Wulfram, Hemmen, J. Leo van

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Short-Term Synaptic Plasticity and Network Behavior von Kistler, Werner M., Hemmen, J. Leo van

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