Emergent mechanisms in multiple pattern generation of the lobster pyloric network

By using a hard-wired oscillator network, multiple pattern generation of th e lobster pyloric network is simulated. The network model is constructed us ing a relaxation oscillator representing an oscillatory or quiescent (i.e, steady-state) neuron. Modulatory inputs to the network are hypothesized to cause changes in the dynamical properties of each pyloric neuron: the oscil latory frequency, the postinhibitory rebound property, and the resting memb rane potential. Changes in each of these properties are induced by changing appropriate parameters of the oscillator. By changing seven parameters of the network as a whole, modulatory input-dependent patterns are successfull y simulated.