Spike times of neuron i
|
tiτ
|
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Spike train of neuron i
|
si(t) = ∑τδ(t − tiτ) |
|
Number of spikes of i during the simulation |
ni
|
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Inter spike intervals |
ISIiτ = tiτ+1 − tiτ
|
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Coefficient of variation |
|
|
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 |
|
rate |
Standard deviation of the rate |
|
std(rate) |
Mean of rates, neurons with rate >0 |
|
rate+
|
Standard deviation rate, neurons with rate >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 |
|
Spec |