Table 2.

Default parameters for two-layer network

Network parameters	Symbol	Value
Cue current	$I^{\mathrm{ext}}$	0.75 nA
Cue period {training, testing}	$t_{\mathrm{cue}}$	{500, 1,000} ms
Number of training epochs	$N_{\mathrm{epochs}}$	10
Time step for numerical integration	$\mathrm{\Delta }t$	0.02 ms
Number of layers	$N_{\mathrm{L}}$	2
Number of excitatory cells per layer	$N_{\mathrm{E}}$	{512, 64}
Number of inhibitory cells per layer	$N_{\mathrm{I}}$	{128, 16}
Prob. of $E$ cell synapsing with afferent feed-forward $E$ cell	$p(EfE)$	$\{-,1.0\}$
Prob. of $E$ cell synapsing with afferent lateral $E$ cell	$p(ElE)$	$\{1.0,0.0\}$
Prob. of $E$ cell synapsing with afferent $I$ cell	$p(IE)$	$\{1.0,1.0\}$
Prob. of $I$ cell synapsing with afferent $E$ cell	$p(EI)$	$\{1.0,1.0\}$
Prob. of $I$ cell synapsing with afferent $I$ cell	$p(II)$	$\{0.0,0.0\}$

Sets of values are indicated by braces whereby the values correspond to the parameters used for each of the two layers of neurons (or the training/testing periods in the case of the cue period)