Multi-timescale adaptive threshold model (Kobayashi et al 2009)


" ... 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): Activity Patterns; Bursting; Parameter Fitting

Simulation Environment: MATLAB (web link to model)

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]


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