Neurally inspired mechanisms for the dynamic visual attention map generation task

Authors:
Maria T. López;Miguel A. Fernández;Antonio Fernández-Caballero;Ana E. Delgado
Affiliations:
Departamento de Informática, E.P.S.A., Universidad de Castilla-La Mancha, Albacete, Spain;Departamento de Informática, E.P.S.A., Universidad de Castilla-La Mancha, Albacete, Spain;Departamento de Informática, E.P.S.A., Universidad de Castilla-La Mancha, Albacete, Spain;Departamento de Inteligencia Artificial, Facultad de Ciencias and E.T.S.I. Informática, UNED, Madrid, Spain
Venue:
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
Year:
2003

Citing 3
Cited 3

Molecular computation of solutions to combinatorial problems

Science
Simple splicing systems

Discrete Applied Mathematics
Introduction to Automata Theory, Languages and Computability

Introduction to Automata Theory, Languages and Computability

Bio-inspired visual attention in agile sensing for target detection

International Journal of Sensor Networks
Sensitivity from short-term memory vs. stability from long-term memory in visual attention method

IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
Accumulative computation method for motion features extraction in active selective visual attention

WAPCV'04 Proceedings of the Second international conference on Attention and Performance in Computational Vision

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we explore the molecular computation model based on a splicing system, A simulator of the programmable, two-input symbol finite automaton is described. The molecular finite state machine is implemented with three enzymes of the class IIS restriction enzymes: Fokl, BseMII, and BseXI.