A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is `application/pdf`

.

##
###
Dynamic least-squares kernel density modeling of Fokker-Planck equations with application to neural population

2010
*
Physical Review E
*

The dynamic least-squares kernel density ͑LSQKD͒ model ͓C. Pantano and B. Shotorban, Phys. Rev. E 76, 066705 ͑2007͔͒ is used to solve the Fokker-Planck equations. In this model the probability density function ͑PDF͒ is approximated by a linear combination of basis functions with unknown parameters whose governing equations are determined by a global least-squares approximation of the PDF in the phase space. In this work basis functions are set to be Gaussian for which the mean, variance, and

doi:10.1103/physreve.81.046706
pmid:20481859
fatcat:udkyw7cmqvhelohcpq5orowlhu