Comparing Neurophysiological Measurements of Simulated and Real Brains

The paper presents the comparison of simulated brains with real brains by means of statistical properties of neurophysiological measurements (single electrode recordings and EEG). Two neural models are selected to build a simulated patch of the primary visual cortex. The first simulation uses classical neuron models, the second uses more complex neural assembly models that perform computations by using emerging spatio-temporal firing patterns. The comparison indicates that the second, more complex model produces results that are more similar to the recordings from real brains