11 search results - page 2 / 3 » State and Parameter Estimation for Canonic Models of Neural ... |
NIPS
2004
13 years 8 months ago
2004
Areas of the brain involved in various forms of memory exhibit patterns of neural activity quite unlike those in canonical computational models. We show how to use well-founded Ba...
JCNS
2010
13 years 6 months ago
2010
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
EUSFLAT
2009
13 years 5 months ago
2009
The aim of this paper is to propose a new Kalman Filter Recurrent Neural Network (KFRNN) topology and a recursive Levenberg-Marquardt (L-M) algorithm of its learning capable to est...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In context-dependent acoustic modeling, it is important to strike a balance between detailed modeling and data sufficiency for robust estimation of model parameters. In the past,...
ANSS
2004
IEEE
13 years 11 months ago
2004
IEEE
The Random Early Detection (RED) scheme for congestion control in TCP is well known over a decade. Due to a number of control parameters in RED, it cannot make acceptable packet-d...