Abstract

© 2011 Safaryan et al; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Highlights

  • Coincident parallel fibre (PF) and climbing fibre (CF) input to cerebellar Purkinje cells (PCs) induces long-term depression (LTD) of PF synapses

  • We have previously studied the effect of non-specific synaptic plasticity (NSSP) on pattern recognition in an artificial neural network

  • In the absence of noise in the input patterns, introducing NSSP resulted in a decreased pattern recognition performance, similar to the loss of performance reported for unsupervised learning based on Oja’s rule [4]

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Summary

Introduction

Coincident parallel fibre (PF) and climbing fibre (CF) input to cerebellar Purkinje cells (PCs) induces long-term depression (LTD) of PF synapses. We have previously studied the effect of non-specific synaptic plasticity (NSSP) on pattern recognition in an artificial neural network. In the absence of noise in the input patterns, introducing NSSP resulted in a decreased pattern recognition performance, similar to the loss of performance reported for unsupervised learning based on Oja’s rule [4].

Results
Conclusion

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