Journal article

Spectral Analysis of Input Spike Trains by Spike-Timing-Dependent Plasticity

Matthieu Gilson, Tomoki Fukai, Anthony N Burkitt

PLoS Computational Biology | PUBLIC LIBRARY SCIENCE | Published : 2012

Abstract

Spike-timing-dependent plasticity (STDP) has been observed in many brain areas such as sensory cortices, where it is hypothesized to structure synaptic connections between neurons. Previous studies have demonstrated how STDP can capture spiking information at short timescales using specific input configurations, such as coincident spiking, spike patterns and oscillatory spike trains. However, the corresponding computation in the case of arbitrary input signals is still unclear. This paper provides an overarching picture of the algorithm inherent to STDP, tying together many previous results for commonly used models of pairwise STDP. For a single neuron with plastic excitatory synapses, we sh..

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University of Melbourne Researchers

Grants

Awarded by Australian Research Council (ARC)


Awarded by Grants-in-Aid for Scientific Research


Funding Acknowledgements

Funding is acknowledged from the Australian Research Council (ARC Discovery Project \#DP0771815) and the Japan Science and Technology Agency (Core Research of Evolutional Science and Technology). The Bionics Institute acknowledges the support it receives from the Victorian State Government through the Operational Infrastructure Support Program. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.