227 search results - page 12 / 46 » A new look at state-space models for neural data |
CANDC
2009
ACM
14 years 3 months ago
2009
ACM
We present a sub-symbolic computational model for effecting knowledge re-representation and insight. Given a set of data, manifold learning is used to automatically organize the d...
EUSFLAT
2003
13 years 10 months ago
2003
Recently, several algorithms have been proposed for using neural networks in dynamic analysis of small structural systems, and also constructing adaptive material modeling subrout...
CORR
2010
Springer
13 years 9 months ago
2010
Springer
Problem statement: This paper examines Artificial Spiking Neural Network (ASNN) which inter-connects group of artificial neurons that uses a mathematical model with the aid of blo...
ICPR
2010
IEEE
13 years 8 months ago
2010
IEEE
The quality of the lung nodule models determines the success of lung nodule detection. This paper describes aspects of our data-driven approach for modeling lung nodules using the...
ANNPR
2008
Springer
13 years 11 months ago
2008
Springer
Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...