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Macroscopic Dynamics of Neural Networks with Heterogeneous Spiking Thresholds
The Izhikevich single neuron model can account for a broad range of different neuron types and spiking patterns, thus rendering it an optimal candidate for a mean-field theoretic treatment of brain dynamics in heterogeneous networks.
Effects of Neural Heterogeneity on Spiking Neural Network Dynamics
The brain is composed of complex networks of interacting neurons that express considerable heterogeneity in their physiology and spiking characteristics.
Mean-field approximations of networks of spiking neurons with short-term synaptic plasticity
Together, we provide novel insight into the macroscopic effects of short-term synaptic plasticity in spiking neural networks, as well as two different mean-field descriptions for future investigations of such networks.
