SenseLab
Computational model
  Data
Multi-timescale adaptive threshold model (Kobayashi et al 2009) (NEURON)
Tom Morse
" ... 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. ..."
  • Multi-timescale adaptive threshold non-resetting leaky integrate and fire Show Other
  • Neuron or other electrically excitable cell Show Other
  • Kobayashi R, Tsubo Y, Shinomoto S (2009) Show Other
  • Appukuttan, Shailesh [shailesh.appukuttan at unic.cnrs-gif.fr; appukuttan.shailesh at gmail.com;] Show Other
tom.morse@yale.edu
False
False
Other categories referring to Multi-timescale adaptive threshold model (Kobayashi et al 2009) (NEURON)
Revisions: 5
Last Time: 3/30/2017 11:52:44 AM
Reviewer: Tom Morse - MoldelDB admin
Owner: Tom Morse - MoldelDB admin