Minimal Models of Adapted Neuronal Response to In VivoLike Input Currents

@article{Camera2004MinimalMO,
  title={Minimal Models of Adapted Neuronal Response to In VivoLike Input Currents},
  author={Giancarlo La Camera and Alexander Rauch and Hans-Rudolf L{\"u}scher and Walter Senn and Stefano Fusi},
  journal={Neural Computation},
  year={2004},
  volume={16},
  pages={2101-2124}
}
Rate models are often used to study the behavior of large networks of spiking neurons. Here we propose a procedure to derive rate models that take into account the fluctuations of the input current and firing-rate adaptation, two ubiquitous features in the central nervous system that have been previously overlooked in constructing rate models. The procedure is general and applies to any model of firing unit. As examples, we apply it to the leaky integrate-and-fire (IF) neuron, the leaky IF… CONTINUE READING

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