Adaptation to Fluctuating Neuronal Signal Traffic for Brain Connectivity

Brain connectivity is commonly studied in terms of causal interaction or statistical dependency between brain regions. In this analysis paper, we draw attention to the constraining effect dynamics fiber tract connections may impose on neuronal signal traffic. We propose a model developed by Copelli and Kinouchi (l.c.) for different purpose safeguard transmission ensuring dynamic adaptation reception wide frequency range traffic flow over connecting tracts. Gap junction would confer groups capacity acting as collectives dynamical adaptability impinging neural thereby forestalling congestion overload. It suggested that applying deliver required functionality collective achievement interrelations neurons gap junctions, latter regulated glia.