IJCNN
2008
IEEE
2008
IEEE
Large developing axonal arbors using a distributed and locally-reprogrammable address-event receiver
13 years 11 months ago
Abstract— We have designed a distributed and locally reprogrammable address event receiver. Incoming address-events are monitored simultaneously by all synapses, allowing for arb...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
—Traditional connectionist classification models place an emphasis on learned synaptic weights. Based on neurobiological evidence, a new approach is developed and experimentally ...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
— Current work is described wherein simplified versions of the Novamente Cognition Engine (NCE) are being used to control virtual agents in virtual worlds such as game engines an...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
— We consider a fully complex-valued radial basis function (RBF) network for regression application. The locally regularised orthogonal least squares (LROLS) algorithm with the D...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract— Separate processing of local luminance and contrast in biological visual systems has been argued to be due to the independence of these two properties in natural image ...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
— The purpose of this study was to develop a product design model for impact toughness estimation of low-alloy steel plates. Based on these estimates, the rejection probability o...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
— Exploratory activities seem to be crucial for our cognitive development. According to psychologists, exploration is an intrinsically rewarding behaviour. The developmental robo...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
— Representation of knowledge within a neural model is an active field of research involved with the development of alternative structures, training algorithms, learning modes an...