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Computational modeling of neural plasticity for self-organization of neural networks
2014
Biosystems (Amsterdam. Print)
Self-organization in biological nervous systems during the lifetime is known to largely occur through a process of plasticity that is dependent upon the spiketiming activity in connected neurons. In the eld of computational neuroscience, much eort has been dedicated to building up computational models of neural plasticity to replicate experimental data. Most recently, increasing attention has been paid to understanding the role of neural plasticity in functional and structural neural
doi:10.1016/j.biosystems.2014.04.003
pmid:24769242
fatcat:mqkncfb2ordzrokovnfspitgym