… is characterized by impaired habituation to repetitive stimuli. The habituation deficit is observed
across several sensory modalities, and is … Lack of habituation is the most prominent (and …

… same question, in this correspondence we clarify that this is not the case, and that a complete
… , but complementary perspective is to focus on the resulting high-order behaviour, that is, …

… i 1 r2 i , where ri is the Pearson’s correlation coefficient of x and ti. To avoid false causalities,
we first evaluate, by Student’s t test, the probability i that ri is due to chance, assuming x and …

… C is a measure of the complexity of machine f and it is related to the so-called Vapnik-…
space where our predictor “lives” is small, then the empirical risk is a good approximation of the …

… ϵ (t) is the … s(t) with a hypothetical model of the neural activation for s(t). Here we employ
a simple on–off model of activation to model s(t):(2) s ˆ ( t ) = ∑ τ = 0 ∞ δ ( t - τ ) where δ(t − τ) is …

… is perfectly reconstructed if N 5000, while if N is further lowered some errors in the reconstructed
network appear. Moreover, it is im… K j→i depend on the link, as it is shown in Fig. 5. …

… Nonlinearity is certainly another assumption that we should make, but it is not clear if this
nonlinearity should reside in s(t) or in the HRF h(t). A biologically inspired model has to answer …

… (eg, by modifications of existing methods for modularity optimization); although we are
aware this is a challenging and interesting problem, it is beyond the aim of the current work. …

We investigate phase synchronization in EEG recordings from migraine patients. We use the
analytic signal technique, based on the Hilbert transform, and find that migraine brains are …

… (CGC) is not … is low, thus making the fully conditioned approach unfeasible, we show that
partially conditioned GC (PCGC) is an effective approach if the set of conditioning variables is …