Coexistence of Cell Assemblies and STDP

Authors:
Florian Hauser;David Bouchain;Günther Palm
Affiliations:
Institute of Neural Information Processing, Ulm University, Germany;Institute of Neural Information Processing, Ulm University, Germany;Institute of Neural Information Processing, Ulm University, Germany
Venue:
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Year:
2009

Citing 4
Cited 0

Neural Assemblies, an Alternative Approach to Artificial Intelligence

Neural Assemblies, an Alternative Approach to Artificial Intelligence
Spike-timing-dependent plasticity for neurons with recurrent connections

Biological Cybernetics
Stdp provides the substrate for igniting synfire chains by spatiotemporal input patterns

Neural Computation
Phenomenological models of synaptic plasticity based on spike timing

Biological Cybernetics - Special Issue: Object Localization

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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.