Table 2 Parameters in the mean-field model.

From: A robust model of Stimulus-Specific Adaptation validated on neuromorphic hardware

Notation

Description

Optimal value

Operating range

M

Number of columns

5

\(\lambda\)

Width of tuning curve

2

\(\tau _a\)

Time constant for adaptation process

1 s

\(\tau\)

Membrane time constant of adaptive population

\(1\times 10^{-3}\) s

\(\tau _{e}\)

Membrane time constant of excitatory population

\(5\times 10^{-3}\) s

\(\tau _{i}\)

Membrane time constant of inhibitory population

\(5\times 10^{-3}\) s

\(w_{ee}^0\)

Intra-columnar excitatory-to-excitatory connection weight

3.25

[3.2, 3.5]

\(w_{ee}^1\)

Inter-columnar excitatory-to-excitatory connection weight

0.2

[0.15, 0.35]

\(w_{ie}\)

Intra-columnar excitatory-to-inhibitory connection weight

1.8

[1.75, 1.95]

\(w_{ei}\)

Intra-columnar inhibitory-to-inhibitory connection weight

-3

[-3.3, -2.85]

\(w_{ii}\)

Intra-columnar inhibitory-to-inhibitory connection weight

-1

[-1.1, -0.7]

\(w_{a}\)

Connection weight between adaptive and excitatory populations

0.5

(0, 2.5]

c

A constant to scale the rate of adaptive population

20

(1, 100]

  1. Steps of 0.05, 0.1 and 1 are used to linearly search the operating ranges of the excitatory and inhibitory connection, adaptation connection weights and adaptation scaling factor, respectively. The parameter value is valid if the CSI metrics for SSA and TDD of the model based on that parameter value are positive. Values exceeding 100 for the adaptation scaling factor have not been tested since SSA and TDD vary very slightly when increasing the parameter linearly. The setup of simulated protocols is the same as that in Fig. 1.