| Number of neurons, N
|
500 |
500 |
| Sparseness, p
|
0.06 |
0.04 |
| Correlation strength (% of overlapping active neurons out oftotal active neurons in a pattern) |
0.066 (Typical) 0.1 (Strong) |
0 |
| Neuronal gain, T
|
0.05 |
0.05 |
| Neuron’s time constant, τn
|
7 [ms] |
13 [ms] |
| Neuronal activation threshold, θ
|
0.02 |
0.17 |
| Regulation parameter, λ |
14.75 |
27.75 |
| Maximal firing rate, x
max
|
100 [spks/sec] |
100 [spks/sec] |
Utilization of synapses within each network, 
[within]
|
Control: 0.206 [1/spks] Schiz.: 0.2615 [1/spks] |
0 [1/spks] |
Utilization of synapses between networks, 
[between]
|
Lexical to Semantic: Control: 0.087 [1/spks] Schiz: 0.1104 [a/Spks] |
Semantic to Lexical: Control: 0 [1/spks]Schiz.: 0 [1/spks] |
| Synaptic recovery time within each network, τr [within]
|
93 [ms] |
– |
| Synaptic recovery time between networks, τr [between]
|
Lexical to Semantic: 1333 [ms] |
Semantic to Lexical: – |
| Input gain between networks (Raw values. Actual valueswere normalized by the number of pre-synaptic activeneurons in a pattern) |
Lexical to Semantic: 2 |
Semantic to Lexical: 0.21 |
| External input gain |
0.56 |
– |
| Input threshold, θext
|
1 |
0.25 |
| Noise amplitude, ηamp
|
Default: 0.05 Low latching: 0.02 |
0.025 |
| Noise temporal correlations, τcorr
|
17 [ms] |
17 [ms] |
| Convergence threshold |
0.95 |
0.95 |
