Abstract
We implement a model of leaky-integrate-and fire neurons with conductance-based synapses. Neurons are structurally coupled in terms of an ideal cell assembly. Synaptic changes occur through parameterized spike timing-dependent plasticity rules which allows us to investigate the question whether cell assemblies can survive or even be strengthed by such common learning rules. It turns out that for different delays there are parameter settings which support cell assembly structures and others which do not.
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Hauser, F., Bouchain, D., Palm, G. (2009). Coexistence of Cell Assemblies and STDP. In: Alippi, C., Polycarpou, M., Panayiotou, C., Ellinas, G. (eds) Artificial Neural Networks – ICANN 2009. ICANN 2009. Lecture Notes in Computer Science, vol 5768. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04274-4_20
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DOI: https://doi.org/10.1007/978-3-642-04274-4_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04273-7
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