Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: Self-organization schemes and weight dependence

M Gilson; AN Burkitt; DB Grayden; DA Thomas; JL Van Hemmen

Journal article

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: Self-organization schemes and weight dependence

M Gilson, AN Burkitt, DB Grayden, DA Thomas, JL Van Hemmen

Biological Cybernetics | Published : 2010

DOI: 10.1007/s00422-010-0405-7

Abstract

Spike-timing-dependent plasticity (STDP) determines the evolution of the synaptic weights according to their pre- and post-synaptic activity, which in turn changes the neuronal activity on a (much) slower time scale. This paper examines the effect of STDP in a recurrently connected network stimulated by external pools of input spike trains, where both input and recurrent synapses are plastic. Our previously developed theoretical framework is extended to incorporate weight-dependent STDP and dendritic delays. The weight dynamics is determined by an interplay between the neuronal activation mechanisms, the input spike-time correlations, and the learning parameters. For the case of two external..

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University of Melbourne Researchers

Anthony Burkitt Author

David Grayden Author

Doreen Thomas Author

Related Projects (1)

Temporal Pattern Learning and Recognition in Neural Systems

This project is relevant to the National Research Priority area of Frontier Technologies and addresses fundamental cross-disciplinary issues..

Grants

Awarded by Australian Research Council

Funding Acknowledgements

The authors are greatly indebted to Chris Trengove, Sean Byrnes, Hamish Meffin, Michael Eager, and Paul Friedel for their constructive comments. They are also grateful to Iven Mareels, Konstantin Borovkov, Dragan Nesic, and Barry Hughes for earlier discussions. The authors are thankful to the Reviewers of the series of papers who contributed to improve the manuscripts. MG is funded by scholarships from the University of Melbourne and NICTA. MG also benefited from an enjoyable stay at the Physik Department (T35) of the Technische Universitat Munchen. LvH gratefully acknowledges a most enjoyable stay at the Department of Electrical and Electronic Engineering at the University of Melbourne. LvH is partially supported by the BCCN-Munich. Funding is acknowledged from the Australian Research Council (ARC Discovery Project #DP0771815). The Bionic Ear Institute acknowledges the support it receives from the Victorian Government through its Operational Infrastructure Support Program.