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Enhanced dynamic range in a sensory network of excitable elements

Sensory 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. The same phenomenon has been observed in two different excitable media: cellular automata and Hodgkin-Huxley networks. This amplification mechanism could also be implemented in artificial sensor devices.