Critical avalanches and subsampling in map-based neural networks coupled with noisy synapses.

@article{GirardiSchappo2013CriticalAA,
  title={Critical avalanches and subsampling in map-based neural networks coupled with noisy synapses.},
  author={Mauricio Girardi-Schappo and Osame Kinouchi and Marcelo H. R. Tragtenberg},
  journal={Physical review. E, Statistical, nonlinear, and soft matter physics},
  year={2013},
  volume={88 2},
  pages={024701}
}
Many different kinds of noise are experimentally observed in the brain. Among them, we study a model of noisy chemical synapse and obtain critical avalanches for the spatiotemporal activity of the neural network. Neurons and synapses are modeled by dynamical maps. We discuss the relevant neuronal and synaptic properties to achieve the critical state. We verify that networks of functionally excitable neurons with fast synapses present power-law avalanches, due to rebound spiking dynamics. We… CONTINUE READING
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