Fig. 1 Topological properties of whole brain network metrics of each group using 3 min sliding time-window. (a) Clustering coefficient (b) local efficiency (c) modularity (d) global efficiency (e) degree of…
Fig. 1 Different spiking frequencies with the changing of g Nap and g Ks . (a) g Nap = 150 μS/cm 2, g Ks = 1.1 μS/cm 2, (b) g Nap = 100…
Fig. 1 Snapshots from the animation showing the time-varying pattern of propagations for the representative subject. The numbers in the upper left corner correspond to the time [s] after the…
Fig. 1 Source difference between pain and tactile inputs 4 Discussion and Conclusions During the early part of non-nociceptive/nociceptive processing, in addition to the decreased activity in SI area, the…
Fig. 1 From prefrontal working memory to long-term neocortical memory. The four panels show the three simulation phases (1–3) and their active components, as well as the configuration during cued…
Fig. 1 Instantaneous power of SSVEP for individual subjects exhibiting: fast habituation (left), slow habituation (middle) and no habituation (right). The black line is the average across 50 trials, and…
Fig. 1 A typical setup for a study involving the measurements of the mental workload during the drive of a simulated car. The passive BCI return real-time information about the…
Fig. 1 Time-varying EEG features during cognitive process. Vertical axis amplitude (μV), horizontal axis number of trials. Blue curve time-varying EEG features, black straight line linear fitting line 4 Conclusion…
Fig. 1 Responses of a neuron in the enthorinal cortex that fired to Luke Skywalker (highlighted stimuli) and Yoda (picture nr. 63). Vertical dotted lines in the peri-stimulus time histograms…
; for all irreversible changes in closed system: ; entropy increment (characterizing entropy exchange of closed system with environment), in frames of our model it is possible to impress as…
