2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/96743Sensory arrays made of coupled excitable elements can improve both their input sensitivity and dynamic range due to collective non-linear wave properties. This mechanism is studied in a neural network of electrically coupled (e.g. via gap junctions) elements subject to a Poisson signal process. The network response interpolates between a Weber-Fechner logarithmic law and a Stevens power law depending on the relative refractory period of the cell. Therefore, these non-linear transformations of the input level could be performed in the sensory periphery simply due to a basic property: the transfer function of excitable media.4 pages, 5 figuresDisordered Systems and Neural NetworksStatistical MechanicsCellular Automata and Lattice GasesBiological PhysicsNeurons and CognitionPhysics of Psychophysics: Stevens and Weber-Fechner laws are transfer functions of excitable mediatext