J
J. Leo van Hemmen
Researcher at Technische Universität München
Publications - 136
Citations - 6194
J. Leo van Hemmen is an academic researcher from Technische Universität München. The author has contributed to research in topics: Hebbian theory & Spike-timing-dependent plasticity. The author has an hindex of 35, co-authored 135 publications receiving 5860 citations. Previous affiliations of J. Leo van Hemmen include Ludwig Maximilian University of Munich & University of Chicago.
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Journal ArticleDOI
A neuronal learning rule for sub-millisecond temporal coding
Wulfram Gerstner,Wulfram Gerstner,Richard Kempter,J. Leo van Hemmen,Hermann Wagner,Hermann Wagner +5 more
TL;DR: A modelling study based on computer simulations of a neuron in the laminar nucleus of the barn owl shows that the necessary degree of coherence in the signal arrival times can be attained during ontogenetic development by virtue of an unsupervised hebbian learning rule.
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Hebbian learning and spiking neurons
TL;DR: A correlation-based ~‘‘Hebbian’’ ! learning rule at a spike level with millisecond resolution is formulated, mathematically analyzed, and compared with learning in a firing-rate description.
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Reduction of the hodgkin-huxley equations to a single-variable threshold model
TL;DR: The results show that the description of a neuron as a threshold element can indeed be justified and the four-dimensional neuron model of Hodgkin and Huxley as a concrete example is studied.
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Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns
TL;DR: This work introduces and analyzes a model of spiking neurons, the spike response model, with a realistic distribution of axonal delays and with realistic postsynaptic potentials, and shows that all information about the spike pattern is lost if only mean firing rates or ensemble activities are considered.
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What matters in neuronal locking
TL;DR: On the basis of the locking theorem, a simple geometric method is presented to verify the existence and local stability of a coherent oscillation.