TY  - JOUR
A1  - Sysoev, Ilya V.
A1  - Ponomarenko, Vladimir I.
A1  - Pikovskij, Arkadij
T1  - Reconstruction of coupling architecture of neural field networks from vector time series
JF  - Communications in nonlinear science & numerical simulation
N2  - We propose a method of reconstruction of the network coupling matrix for a basic voltage-model of the neural field dynamics. Assuming that the multivariate time series of observations from all nodes are available, we describe a technique to find coupling constants which is unbiased in the limit of long observations. Furthermore, the method is generalized for reconstruction of networks with time-delayed coupling, including the reconstruction of unknown time delays. The approach is compared with other recently proposed techniques.
KW  - Network reconstruction
KW  - Time series
KW  - Neurooscillators
KW  - Time delay
Y1  - 2017
U6  - https://doi.org/10.1016/j.cnsns.2017.10.006
SN  - 1007-5704
SN  - 1878-7274
VL  - 57
SP  - 342
EP  - 351
PB  - Elsevier
CY  - Amsterdam
ER  -