26 search results - page 2 / 6 » Inferring Elapsed Time from Stochastic Neural Processes |
99
Voted
NIPS
2003
15 years 1 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...
81
Voted
BMCBI
2008
14 years 11 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...
100
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PAMI
2010
14 years 10 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...
IJON
2007
14 years 11 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)...
80
Voted
ICML
2009
IEEE
16 years 13 days 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...