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Sensory arrays made of coupled excitable elements can improve both theirinput sensitivity and dynamic range due to collective non-linear waveproperties. This mechanism is studied in a neural network of electricallycoupled (e.g. via gap junctions) elements subject to a Poisson signal process.The network response interpolates between a Weber-Fechner logarithmic law and aStevens power law depending on the relative refractory period of the cell.Therefore, these non-linear transformations of the input level could beperformed in the sensory periphery simply due to a basic property: the transferfunction of excitable media.Comment: 4 pages, 5 figure

Physics of psychophysics: Stevens and Weber-Fechner laws are transfer functions of excitable media