This page was created by
Ryota Kobayashi
in collaboration with
Yasuhiro Tsubo and
Shigeru Shinomoto
based on a neuron model published in Frontiers in Computational Neuroscience 2009.
1. Input Parameters of MAT modelTypical parameters for Regular Spiking (RS), Intrinsic Bursting (IB), Fast Spiking (FS) neurons:. 2. Copyandpaste Sampling interval and Input Current3. Predicting Spike Times using MAT model4. Data Sheet of the predicted spike times 
1. The model potential V2. The spike threshold θ ,3. Condition for Spike Generation, 
1. Download MAT_current.m.
2. This code simulates the MAT neurons in response to the constant current, and generates Figure 5B in the original paper (Kobayashi, Tsubo, and Shinomoto, 2009). Please note that the voltage is shifted 65 mV.

1. Download MAT.c.
2. Prepare an input current file "current.txt".

Kobayashi R, Tsubo Y, and Shinomoto S.
Madetoorder spiking neuron model equipped with a multitimescale adaptive threshold.
Frontiers in Computational Neuroscience 3:9 (2009)
If you have any questions, or have suggestions for improving the programs, please contact Shigeru Shinomoto, who is conducting these studies.