10 search results - page 1 / 2 » The Time-Rescaling Theorem and Its Application to Neural Spi... |
NECO
2002
13 years 4 months ago
2002
SP
2008
IEEE
13 years 5 months ago
2008
IEEE
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
IDA
2010
Springer
13 years 3 months ago
2010
Springer
Insufficient training data is one of the major problems in neural network learning, because it leads to poor learning performance. In order to enhance an intelligent learning proc...
JCNS
2010
13 years 2 days ago
2010
A number of important data analysis problems in neuroscience can be solved using state-space models. In this article, we describe fast methods for computing the exact maximum a pos...
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...