These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
3. What can a neuron learn with spike-timing-dependent plasticity? Legenstein R, Naeger C, Maass W. Neural Comput; 2005 Nov; 17(11):2337-82. PubMed ID: 16156932 [Abstract] [Full Text] [Related]
4. Reconciling the STDP and BCM models of synaptic plasticity in a spiking recurrent neural network. Bush D, Philippides A, Husbands P, O'Shea M. Neural Comput; 2010 Aug; 22(8):2059-85. PubMed ID: 20438333 [Abstract] [Full Text] [Related]
5. An implementation of reinforcement learning based on spike timing dependent plasticity. Roberts PD, Santiago RA, Lafferriere G. Biol Cybern; 2008 Dec; 99(6):517-23. PubMed ID: 18941775 [Abstract] [Full Text] [Related]
6. Competitive Hebbian learning through spike-timing-dependent synaptic plasticity. Song S, Miller KD, Abbott LF. Nat Neurosci; 2000 Sep; 3(9):919-26. PubMed ID: 10966623 [Abstract] [Full Text] [Related]
7. A computational framework for cortical learning. Suri RE. Biol Cybern; 2004 Jun; 90(6):400-9. PubMed ID: 15316786 [Abstract] [Full Text] [Related]
10. Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity--strengthening correlated input pathways. Gilson M, Burkitt AN, Grayden DB, Thomas DA, van Hemmen JL. Biol Cybern; 2009 Aug; 101(2):81-102. PubMed ID: 19536560 [Abstract] [Full Text] [Related]