ICANN
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. We present a model of a recurrent neural network, embodied in a minimalist articulated agent with a single link and joint. The configuration of the agent defined by one...
ICANN
2007
Springer
14 years 5 months ago
2007
Springer
The identification of cis-regulatory binding sites in DNA is a difficult problem in computational biology. To obtain a full understanding of the complex machinery embodied in genet...
ICANN
2007
Springer
14 years 5 months ago
2007
Springer
This paper describes a new model for extracting large-field optical flow patterns to generate distributed representations of neural activation to control complex visual tasks such ...
ICANN
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. Taking neuromodulation as a mechanism underlying emotions, this paper investigates how such a mechanism can bias an artificial neural network towards exploration of new ...
ICANN
2007
Springer
14 years 5 months ago
2007
Springer
Treatment of general structured information by neural networks is an emerging research topic. Here we show how representations for graphs preserving all the information can be devi...
ICANN
2007
Springer
14 years 5 months ago
2007
Springer
The Self-Organising Map is a popular unsupervised neural network model which has been used successfully in various contexts for clustering data. Even though labelled data is not re...
ICANN
2007
Springer
14 years 5 months ago
2007
Springer
ICANN
2007
Springer
14 years 5 months ago
2007
Springer
Many applications would emerge from the development of artificial systems able to accurately localize and identify sound sources. However, one of the main difficulties of such kin...
ICANN
2007
Springer
14 years 5 months ago
2007
Springer
Parts-based recognition has been suggested for generalizing from few training views in categorization scenarios. In this paper we present the results of a comparative investigation...
ICANN
2007
Springer
14 years 5 months ago
2007
Springer
Neurotransmitter fields differ from neural fields in the underlying principle that the state variables are not the neuron action potentials, but the chemical concentration of neuro...