Rate-based models¶
Gerstner et al. (2014) “Neuronal Dynamics” Chapter 19.2 Models of Hebbian learning
Gerstner et al. (2014) “Neuronal Dynamics” Chapter 19.3 Unsupervised learning
Oja (1982) “A simplified neuron model as a principal component analyzer”
Yger and Gilson (2015) “Models of Metaplasticity: A Review of Concepts”
STDP¶
Song et al. (2000) “Competitive Hebbian learning through spike-timing-dependent synaptic plasticity”
Agus et al. (2010) “Rapid Formation of Robust Auditory Memories: Insights from Noise”
van Rossum et al. (2000) “Stable Hebbian Learning from Spike Timing-Dependent Plasticity”
Yger and Gilson (2015) “Models of Metaplasticity: A Review of Concepts”
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- Yger, P., & Gilson, M. (2015). Models of Metaplasticity: A Review of Concepts. Frontiers in Computational Neuroscience, 9. 10.3389/fncom.2015.00138
- Song, S., Miller, K. D., & Abbott, L. F. (2000). Competitive Hebbian learning through spike-timing-dependent synaptic plasticity. Nature Neuroscience, 3(9), 919–926. 10.1038/78829
- Song, S., & Abbott, L. F. (2001). Cortical Development and Remapping through Spike Timing-Dependent Plasticity. Neuron, 32(2), 339–350. 10.1016/s0896-6273(01)00451-2
- Masquelier, T., Guyonneau, R., & Thorpe, S. J. (2008). Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains. PLoS ONE, 3(1), e1377. 10.1371/journal.pone.0001377
- Agus, T. R., Thorpe, S. J., & Pressnitzer, D. (2010). Rapid Formation of Robust Auditory Memories: Insights from Noise. Neuron, 66(4), 610–618. 10.1016/j.neuron.2010.04.014
- van Rossum, M. C. W., Bi, G. Q., & Turrigiano, G. G. (2000). Stable Hebbian Learning from Spike Timing-Dependent Plasticity. The Journal of Neuroscience, 20(23), 8812–8821. 10.1523/jneurosci.20-23-08812.2000
- Clopath, C., Büsing, L., Vasilaki, E., & Gerstner, W. (2010). Connectivity reflects coding: a model of voltage-based STDP with homeostasis. Nature Neuroscience, 13(3), 344–352. 10.1038/nn.2479
- Shouval, H. (2010). Spike timing dependent plasticity: a consequence of more fundamental learning rules. Frontiers in Computational Neuroscience. 10.3389/fncom.2010.00019