Physics of Complex Sound Perception

PABLO BALENZUELA; JORDI GARCIA OJALVO

Mar del Plata, Buenos Aires, Argentina

Congreso; (XV Conference on Nonequilibrium Statistical Mechanics and Nonlinear Physics, Medyfinol’06; 2006

Universidad Nacional de Mar del Plata

In this work, we analyze the behavior of a neuronal network when it is stimulated by a synaptic train current with variable frequency. Using the fact that resonat (type II) neurons have a preferred input frequency, we constructed a network formed by two groups of neurons, each one responding to a different eigenfrequency. We show than even though every neuron is locally connected with neighbors of both groups, only those properly tuned to the input frequency fire synchronically with the incoming signal. In this sense, given a fixed sized network of heterogeneous neurons different subsets respond to the stimulus depending on its frequency.