TY - JOUR
T1 - Emergence of synchronous oscillations in neural networks excited by noise
AU - Zorzano, M.P.
AU - Vázquez, L.
PY - 2003
Y1 - 2003
N2 - The presence of noise in nonlinear dynamical systems can play a constructive role, increasing the degree of order and coherence or evoking improvements in the performance of the system. An example of this positive influence in a biological system is the impulse transmission in neurons and the synchronization of a neural network. Integrating numerically the Fokker–Planck (FP) equation we show a self-induced synchronized oscillation. Such an oscillatory state appears in a neural network coupled with a feedback term, when this system is excited by noise and the noise strength is within a certain range.
AB - The presence of noise in nonlinear dynamical systems can play a constructive role, increasing the degree of order and coherence or evoking improvements in the performance of the system. An example of this positive influence in a biological system is the impulse transmission in neurons and the synchronization of a neural network. Integrating numerically the Fokker–Planck (FP) equation we show a self-induced synchronized oscillation. Such an oscillatory state appears in a neural network coupled with a feedback term, when this system is excited by noise and the noise strength is within a certain range.
UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-0037402692&partnerID=MN8TOARS
U2 - 10.1016/S0167-2789(03)00007-1
DO - 10.1016/S0167-2789(03)00007-1
M3 - Article
SN - 0167-2789
JO - Physica D: Nonlinear Phenomena
JF - Physica D: Nonlinear Phenomena
ER -