" ... In this study, we devised a simple, fast computational model that can be tailored to any cortical neuron not only for reproducing but also for predicting a variety of spike responses to greatly fluctuating currents. The key features of this model are a multi-timescale adaptive threshold predictor and a nonresetting leaky integrator. This model is capable of reproducing a rich variety of neuronal spike responses, including regular spiking, intrinsic bursting, fast spiking, and chattering, by adjusting only three adaptive threshold parameters. ..."
Model Type: Neuron or other electrically excitable cell
Cell Type(s): Multi-timescale adaptive threshold non-resetting leaky integrate and fire
Model Concept(s): Parameter Fitting; Activity Patterns; Bursting
Simulation Environment: NEURON; Python
Implementer(s): Appukuttan, Shailesh [shailesh.appukuttan at unic.cnrs-gif.fr; appukuttan.shailesh at gmail.com;]
References:
Kobayashi R, Tsubo Y, Shinomoto S. (2009). Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold. Frontiers in computational neuroscience. 3 [PubMed]