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(Neural Computation. 2000;12:43-89.)
© 2000 The MIT Press

Population Dynamics of Spiking Neurons: Fast Transients, Asynchronous States, and Locking

Wulfram Gerstner

Center for Neuromimetic Systems, Swiss Federal Institute of Technology, EPFL-DI, CH-1015 Lausanne, Switzerland

An integral equation describing the time evolution of the population activity in a homogeneous pool of spiking neurons of the integrate-and-fire type is discussed. It is analytically shown that transients from a state of incoherent firing can be immediate. The stability of incoherent firing is analyzed in terms of the noise level and transmission delay, and a bifurcation diagram is derived. The response of a population of noisy integrate-and-fire neurons to an input current of small amplitude is calculated and characterized by a linear filter . The stability of perfectly synchronized "locked" solutions is analyzed.




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