Sampling effects and measurement overlap can bias the inference of neuronal avalanches
Sampling effects and measurement overlap can bias the inference of neuronal avalanches
To date, it is still impossible to sample the entire mammalian brain with single-neuron precision. This forces one to either use spikes (focusing on few neurons) or to use coarse-sampled activity (averaging over many neurons, e.g. LFP). Naturally, the sampling technique impacts inference about collective properties. Here, we emulate both …