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Table 1 General neural mass model parameters and their descriptions

From: A multiscale brain network model links Alzheimer’s disease-mediated neuronal hyperactivity to large-scale oscillatory slowing

Parameter Description Value (default)
t Sample time 0.002 s
P(t) The pulse density of an input signal to the excitatory population 550 spikes/s−1
Noise Random fluctuations around average level of P(t) 1.0
A he(t) Amplitude of the EPSP 1.6 mV
A hi(t) Amplitude of the IPSP 32 mV
a he(t) Shape parameter of EPSP 55 s−1
b he(t) Shape parameter of EPSP 605 s−1
a hi(t) Shape parameter of IPSP 27.5 s−1
b hi(t) Shape parameter of IPSP 55 s−1
g Parameter of sigmoid function that relates membrane potential to impulse density 25 s−1
q Parameter of sigmoid function that relates membrane potential to impulse density 0.34 mV−1
Vd1 Threshold potential used in the sigmoid function that relates membrane potential to impulse density for main population of excitatory neurons 7 mV
Vd2 Threshold potential used in sigmoid function that relates membrane potential to impulse density for inhibitory neurons 7 mV
C1 Connection strength between main population of excitatory and inhibitory neurons 32
C2 Connection strength between inhibitory neurons and main population of excitatory neurons 3
S Coupling strength between neural masses (gain factor) 1.5
T Time delay for the coupling between neural masses 0.002 s
N Number of neural masses (/nodes) in network model 78
  1. The defined values represent the values as used in default, i.e., control condition in the current study