In this manuscript we introduce a new approach of neuronal modeling, which is able to unveil interesting dendritic computation properties by considering the multiple in vivo-like input conditions. Such dendritic computational properties emerge from a large number of rather simple interacting compartments. A further advantage of this approach is that it allows one to write down the system's master equation to study it analytically. In a new paper [Gollo et al. Phys. Rev. E 85, 011911 (2012); http://dx.doi.org/10.1103... ], we propose a mean-field approximation which keeps track of the direction of propagation of the excitable waves, thus reproducing the main results of the model. We hope that our effort will contribute to the theoretical foundations of dendritic computation.

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