227 search results - page 1 / 46 » A new look at state-space models for neural data |
JCNS
2010
13 years 3 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...
NECO
2002
13 years 4 months ago
2002
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
BC
2007
13 years 4 months ago
2007
We present a new approach of explaining partial causality in multivariate fMRI time series by a state space model. A given single time series can be divided into two noise-driven ...
KDD
1995
ACM
13 years 8 months ago
1995
ACM
We develop,in the context of discriminantanalysis,a generalapproachto the designof neuralarchitectures. It consistsin building a neuralnet ‘around’a statistical model family; ...
GLVLSI
1998
IEEE
13 years 8 months ago
1998
IEEE
A new technology mapper SELF-Map for LookUp Table LUT based Field Programmable Gate Arrays FPGAs is described. SELF-Map is based on the Stochastic Evolution SE algorithm. The stat...