title: Analysis of neural spike trains with interspike interval reconstruction.
abstract: As a method for the analysis of neural spike trains, we examine fundamental characteristics of interspike interval (ISI) reconstruction theoretically with a leaky-integrator neuron model and experimentally with cricket wind receptor cells. Both the input to the leaky integrator and the stimulus to the wind receptor cells are the time series generated from the Rossler system. By numerical analysis of the leaky integrator, it is shown that, even if ISI reconstruction is possible, sometimes the entire structure of the Rössler attractor may not be reconstructed with ISI reconstruction. For analysis of the in vivo physiological responses of cricket wind receptor cells, we apply ISI reconstruction, nonlinear prediction and the surrogate data method to the experimental data. As a result of the analysis, it is found that there is a significant deterministic structure in the spike trains. By this analysis of physiological data, it is also shown that, even if ISI reconstruction is possible, the entire attractor may not be reconstructed.
authors.affiliation: Department of Mathematical Engineering and Information Physics, The University of Tokyo, Japan. hideyuki@sat.t.u-toyko.ac.jp
authors.forename: H
authors.initials: H
authors.lastname: Suzuki
authors.forename: K
authors.initials: K
authors.lastname: Aihara
authors.forename: J
authors.initials: J
authors.lastname: Murakami
authors.forename: T
authors.initials: T
authors.lastname: Shimozawa
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000465:Algorithms; D000818:Animals; D003198:Computer Simulation; D005583:Fourier Analysis; D006135:Gryllidae; D066298:In Vitro Techniques; D008465:Mechanoreceptors / Q000502:physiology*; D008959:Models, Neurological; D009475:Neurons, Afferent / Q000502:physiology*; D017711:Nonlinear Dynamics; D009716:Numerical Analysis, Computer-Assisted; D013269:Stochastic Processes; D014919:Wind