Search Results - "Ruf, Berthold"

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  1. 1

    Activity-dependent development of axonal and dendritic delays, or, why synaptic transmission should be unreliable by Senn, Walter, Schneider, Martin, Ruf, Berthold

    Published in Neural computation (01-03-2002)
    “…Systematic temporal relations between single neuronal activities or population activities are ubiquitous in the brain. No experimental evidence, however,…”
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    Journal Article
  2. 2

    Spatial and temporal pattern analysis via spiking neurons by Natschläger, Thomas, Ruf, Berthold

    Published in Network (Bristol) (01-08-1998)
    “…Spiking neurons, receiving temporally encoded inputs, can compute radial basis functions (RBFs) by storing the relevant information in their delays. In this…”
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  3. 3

    Learning Temporally Encoded Patterns in Networks of Spiking Neurons by Ruf, Berthold, Schmitt, Michael

    Published in Neural processing letters (01-02-1997)
    “…Networks of spiking neurons are very powerful and versatile models for biological and artificial information processing systems. Especially for modelling…”
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  4. 4

    On Computation with Pulses by Maass, Wolfgang, Ruf, Berthold

    Published in Information and computation (01-02-1999)
    “…We explore the computational power of formal models for computation with pulses. Such models are motivated by realistic models for biological neurons and by…”
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  5. 5

    Pattern analysis with spiking neurons using delay coding by Natschläger, Thomas, Ruf, Berthold

    Published in Neurocomputing (Amsterdam) (1999)
    “…Spiking neurons, receiving temporally encoded inputs, can compute radial basis functions (RBFs) by storing the relevant information in their delays. These…”
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  6. 6

    The VC-dimension of set systems defined by graphs by Kranakis, Evangelos, Krizanc, Danny, Ruf, Berthold, Urrutia, Jorge, Woeginger, Gerhard

    Published in Discrete Applied Mathematics (22-08-1997)
    “…We study set systems over the vertex set (or edge set) of some graph that are induced by special graph properties like clique, connectedness, path, star, tree,…”
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  7. 7

    Self-organization of spiking neurons using action potential timing by Ruf, B., Schmitt, M.

    Published in IEEE transactions on neural networks (01-05-1998)
    “…We propose a mechanism for unsupervised learning in networks of spiking neurons which is based on the timing of single firing events. Our results show that a…”
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