|
Data
|
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.
..."
|
|
-
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
|
|
|
|
|
|
|
tom.morse@yale.edu
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|