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Literature DB >> 12816564

Relating STDP to BCM.

Abstract

We demonstrate that the BCM learning rule follows directly from STDP when pre- and postsynaptic neurons fire uncorrelated or weakly correlated Poisson spike trains, and only nearest-neighbor spike interactions are taken into account.

Mesh：

Year: 2003 PMID： 12816564 DOI： 10.1162/089976603321891783

Source DB: PubMed Journal: Neural Comput ISSN： 0899-7667 Impact factor: 2.026

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Cited

73 in total

1. Synaptic homeostasis and input selectivity follow from a calcium-dependent plasticity model.

Authors: Luk Chong Yeung; Harel Z Shouval; Brian S Blais; Leon N Cooper
Journal: Proc Natl Acad Sci U S A Date: 2004-10-04 Impact factor: 11.205

2. A triplet spike-timing-dependent plasticity model generalizes the Bienenstock-Cooper-Munro rule to higher-order spatiotemporal correlations.

Authors: Julijana Gjorgjieva; Claudia Clopath; Juliette Audet; Jean-Pascal Pfister
Journal: Proc Natl Acad Sci U S A Date: 2011-11-11 Impact factor: 11.205

Relating STDP to BCM.

1. Synaptic homeostasis and input selectivity follow from a calcium-dependent plasticity model.

2. A triplet spike-timing-dependent plasticity model generalizes the Bienenstock-Cooper-Munro rule to higher-order spatiotemporal correlations.

3. A biophysically-based neuromorphic model of spike rate- and timing-dependent plasticity.

4. Pyramidal neuron conductance state gates spike-timing-dependent plasticity.

5. STDP rule endowed with the BCM sliding threshold accounts for hippocampal heterosynaptic plasticity.

6. Memory retention and spike-timing-dependent plasticity.

7. Independent component analysis in spiking neurons.

8. Dual coding with STDP in a spiking recurrent neural network model of the hippocampus.

9. Rewiring neural interactions by micro-stimulation.

10. Cortical gamma rhythms modulate NMDAR-mediated spike timing dependent plasticity in a biophysical model.