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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