"Impacts of homo- and hetero- synaptic plasticities on neuronal networks"
Learning novel experiences is an important function of central nervous systems. Accumulating evidence indicates that synaptic plasticity forms the cellular basis of learning and memory. Recently, two new types of plasticities were observed in experiments, i.e., spike timing-dependent plasticity (STDP) and hetero-synaptic plasticity (HSP). An important question is how STDP and HSP interact with each other and modify neural networks. Here we study the impacts of STDP and HSP on randomly connected neuronal networks. Based on results from theoretical analysis using Fokker-Planck theory and numerical simulations, we find that STDP and HSP complement each other and produce more realistic network activities.