26 search results - page 2 / 6 » Inferring Elapsed Time from Stochastic Neural Processes |
128
Voted
NIPS
2003
15 years 5 months ago
2003
Recent work has examined the estimation of models of stimulus-driven neural activity in which some linear filtering process is followed by a nonlinear, probabilistic spiking stag...
119
Voted
BMCBI
2008
15 years 3 months ago
2008
Background: Research in life sciences is benefiting from a large availability of formal description techniques and analysis methodologies. These allow both the phenomena investiga...
142
Voted
PAMI
2010
15 years 2 months ago
2010
—We consider the problem of inferring and modeling topics in a sequence of documents with known publication dates. The documents at a given time are each characterized by a topic...
131
Voted
IJON
2007
15 years 3 months ago
2007
We investigate a recently proposed method for the analysis of oscillatory patterns in EEG data, with respect to its capacity of further quantifying processes on slower (< 1 Hz)...
107
Voted
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...