Comparison of single neuron models in terms of synchronization propensity
Anno: 2008
Autori: Sungar N., Allaria E., Leyva I., Arecchi F.T.
Affiliazione autori: Calif Polytech State Univ San Luis Obispo, San Luis Obispo, CA 93407 USA;
Istituto Naionale di Ottica Applicata, Largo E. Fermi6, 50125 Florence, Italy;
Sincrotrone Trieste, I-34012 Trieste, Italy;
Univ Rey Juan Carlos, Mostoles Madrid 28933, Spain;
Univ Florence, Dept Phys, Florence, Italy
Abstract: A plausible model for coherent perception is the synchronization of chaotically distributed neural spike trains over wide cortical areas. A recently introduced propensity criterion provides a tool for a quantitative comparison of different neuron models in terms of their ability to synchronize to an applied perturbation. We explore the propensity of several systems and indicate the requirements to be satisfied by a plausible candidate for modeling neuronal activity. Our results show that the conflicting requirements of stability and sensitivity leading to high propensity to synchronization can be satisfied by a strongly nonuniform attractor made of two distinct regions: a saddle focus plus a sufficiently separated saddle node.
Giornale/Rivista: CHAOS
Volume: 18 (3) Da Pagina: 033108 A: 033108
Parole chiavi: thermally sensitive neurons; hodgkin-huxley model; signal-transduction; chaotic systems; DOI: 10.1063/1.2959101Citazioni: 5dati da “WEB OF SCIENCE” (of Thomson Reuters) aggiornati al: 2024-04-28Riferimenti tratti da Isi Web of Knowledge: (solo abbonati) Link per visualizzare la scheda su IsiWeb: Clicca quiLink per visualizzare la citazioni su IsiWeb: Clicca qui