The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
Connectivity reflects coding: a model of voltage-based STDP with homeostasis
Open accessAbstract
Electrophysiological connectivity patterns in cortex often have a few strong connections, which are sometimes bidirectional, among a lot of weak connections. To explain these connectivity patterns, we created a model of spike timing–dependent plasticity (STDP) in which synaptic changes depend on presynaptic spike arrival and the postsynaptic membrane potential, filtered with two different time constants. Our model describes several nonlinear effects that are observed in STDP experiments, as well as the voltage dependence of plasticity. We found that, in a simulated recurrent network of spiking neurons, our plasticity rule led not only to development of localized receptive fields but also to connectivity patterns that reflect the neural code. For temporal coding procedures with spatio-temporal input correlations, strong connections were predominantly unidirectional, whereas they were bidirectional under rate-coded input with spatial correlations only. Thus, variable connectivity patterns in the brain could reflect different coding principles across brain areas; moreover, our simulations suggested that plasticity is fast.
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Cites
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Cortical layer-specific critical dynamics triggering perception
Marshel, J. H., Kim, Y. S., Machado, T. A., Quirin, S., Benson, B., Kadmon, J., Raja, C., Chibukhchyan, A., Ramakrishnan, C., Inoue, M., et al. (2019) · Science · doi:10.1126/science.aaw5202 · Cited by 652
Functional organization of excitatory synaptic strength in primary visual cortex
Cossell, L., Iacaruso, M. F., Muir, D. R., Houlton, R., Sader, E. N., Ko, H., Hofer, S. B., & Mrsic-Flogel, T. D. (2015) · Nature · doi:10.1038/nature14182 · Cited by 527
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Froemke, R. C. (2015) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071714-034002 · Cited by 458
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Metadata
- Authors
- Clopath, C., Büsing, L., Vasilaki, E., & Gerstner, W.
- Venue
- Nature Neuroscience
- Published
- 2010-01-24
- Volume
- 13
- Issue
- 3
- Pages
- 344-352
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- OpenAlex
- W1993868308
- Cited by
- 607
- References
- 58
- FWCI
- 20.27
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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