In this work we propose taking noise into account when modeling the neuronal activity in a correlation-based type network. Volume transmission effects on connectivity are considered. As a result, an individual module can be set in an “activated” state via noise produced by the remaining modules. The stochastic approach could provide a new insight into the relation between functional and anatomi...

Using combined emotional stimuli, combining photos of faces and recording of voices, we investigated the neural dynamics of emotional judgment using scalp EEG recordings. Stimuli could be either combioned in a congruent, or a non-congruent way.. As many evidences show the major role of alpha in emotional processing, the alpha band was subjected to be analyzed. Analysis was performed by computin...

Networks of cortical neurons were grown over multi electrode arrays to enable simultaneous measurement of signals from multiple neurons. Functional connectivity in cultured networks has been described by relationships between individual electrodes, based on conditional firing probabilities. In this study we investigated periods in which the strength of a relationship increased (strengthening) o...

Functional parcellation of the human cortex plays an important role in the understanding of brain functions. Traditionally, functional areas are defined according to anatomical landmarks. Recently, new techniques were proposed that do not require a priori segmentation of the cortex. Such methods allow functional parcellation by functional information alone. We propose here a data-driven approac...

The authorswould like to correct an error in the derivation of the formula for sliding-window covariance of pure sinusoidal signals that are phaselocked (i.e., when fluctuations are spurious). While the derivation of the second term of Eq. (2) correctly uses the product-to-sum trigonometric identity, there is a missing factor of 2 in the similar derivation of the first term of Eq. (2); i.e., af...