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GastSchmidtKnosche_SD

Description

4D model describing the Ott-Antonsen reduction of infinite all-to-all coupled QIF neurons (Theta-neurons) with Synaptic Depression adaptation mechanisms [Gastetal_2020]_. The two state variables :math:`r` and :math:`V` represent the average firing rate and the average membrane potential of our QIF neurons. :math:`A` and :math:`B` are respectively the adaptation variable and its derivative. The equations of the infinite QIF 2D population model read .. math:: \dot{r} &= 1/\tau (\Delta/(\pi \tau) + 2 V r)\\ \dot{V} &= 1/\tau (V^2 - \tau^2 \pi^2 r^2 + \eta + J \tau r (1 - A) + I)\\ \dot{A} &= 1/\tau_A (B)\\ \dot{B} &= 1/\tau_A (-2 B - A + \alpha r) \\ .. [Gastetal_2020] Gast, R., Schmidt, H., & Knösche, T. R. (2020). A mean-field description of bursting dynamics in spiking neural networks with short-term adaptation. *Neural Computation*, 32(9), 1615-1634.

Parameters
NameValueUnit
Delta 2.0
I
J 21.2132
alpha 0.5
cr 1.0
cv
eta -6.0
tau_A 10.0
tau 1.0
State variables
NameInitial value
A 0.1
B 0.1
V 0.1
r 0.1