Table 3.

Activity features.

Description	Definition	Abbreviation
Spike times of neuron i	tiτ
Spike train of neuron i	si(t) = ∑τδ(t − tiτ)
Number of spikes of i during the simulation	ni
Inter spike intervals	ISIiτ = tiτ+1 − tiτ
Coefficient of variation	$\text{CV}[i]=\frac{\text{std}{\left({\text{ISI}}_{\tau }^{\text{i}}\right)}_{\tau }}{{\langle {\text{ISI}}_{\tau }^i\rangle }_{\tau }}$
Mean CV	〈CV[i]〉i	CV
Standard deviation of CV	std(CV[i])i	std(CV)
Spike count of neuron i in bin number τ of size Δ	ciτ(Δ)
Highest order of detectable higher-order correlations	See text	HOC
Mean count correlation for small/large bin size	〈corr(ciτ[Δs,l], cjτ[Δs,l])τ〉i≠j	CCCs/l
Standard deviation of count correlation	std(corr(ciτ[Δs/l], cjτ[Δs/l])τ)i≠j	std(CCCs/l)
Mean spike rate	${\langle \frac{n_i}{t_{\text{sim}}}\rangle }_i$	rate
Standard deviation of the rate	$\text{std}{\left(\frac{{\text{n}}_{\text{i}}}{{\text{t}}_{\text{sim}}}\right)}_{\text{i}}$	std(rate)
Mean of rates, neurons with rate >0	${\langle \frac{n_i}{t_{\text{sim}}}\rangle }_{i:n_i>0}$	rate+
Standard deviation rate, neurons with rate >0	$\text{std}{\left(\frac{{\text{n}}_{\text{i}}}{{\text{t}}_{\text{sim}}}\right)}_{i:n_i>0}$	std(rate+)
Population activity	S(t) = ∑isi(t)
Normalized power spectrum	P(ω) = (|FT[S(t)]|2 − 〈S(t)〉t)/(〈S(t)〉2t tsim)
Integrated spectral power of population activity	${\displaystyle {\int }_{f_{\text{min}}}^{f_{\text{max}}}P}(\omega )d\omega$	Spec