ENGL
2006
13 years 11 months ago
2006
A direct adaptive neural network control system with and without integral action term is designed for the general class of continuous biological fermentation processes. The control...
AUTOMATICA
2006
13 years 11 months ago
2006
Controlling non-affine non-linear systems is a challenging problem in control theory. In this paper, we consider adaptive neural control of a completely non-affine pure-feedback s...
EL
2008
13 years 11 months ago
2008
Purpose Neural document clustering techniques, e.g., self-organising map (SOM) or growing neural gas (GNG), usually assume that textual information is stationary on the quantity. ...
ICASSP
2010
IEEE
13 years 11 months ago
2010
IEEE
Extracellular recording of neural signals records the action potentials (known as spikes) of neurons adjacent to the electrode as well as the noise generated by the overall neural...
NIPS
2001
14 years 26 days ago
2001
Statistical learning and probabilistic inference techniques are used to infer the hand position of a subject from multi-electrode recordings of neural activity in motor cortex. Fi...
NIPS
2004
14 years 26 days ago
2004
We study the synthesis of neural coding, selective attention and perceptual decision making. We build a hierarchical neural architecture that implements Bayesian integration of no...
ESANN
2003
14 years 26 days ago
2003
Abstract. Recently, a new method intended to realize conformal mappings has been published. Called Locally Linear Embedding (LLE), this method can map high-dimensional data lying o...
DAGSTUHL
2003
14 years 26 days ago
2003
We embodied networks of cultured biological neurons in simulation and in robotics. This is a new research paradigm to study learning, memory, and information processing in real tim...
HIS
2004
14 years 27 days ago
2004
Many researchers have observed that neurons process information in an imprecise manner - if a logical inference emerges from neural computation, it is inexact at best. Thus, there...
CDES
2006
14 years 27 days ago
2006
