Neurally Inspired Mechanisms for the Dynamic Visual Attention Map Generation Task

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.

[1]  Masami Hagiya,et al.  From Molecular Computing to Molecular Programming , 2000, DNA Computing.

[2]  Antonio Fernández-Caballero,et al.  Segmentation from motion of non-rigid objects by neuronal lateral interaction , 2001, Pattern Recognit. Lett..

[3]  Rainer Hoch,et al.  IAPR Workshop on Machine Vision Applications, MVA '92 , 1993, Künstliche Intell..

[4]  A. Treisman,et al.  A feature-integration theory of attention , 1980, Cognitive Psychology.

[5]  C. Eriksen,et al.  Visual attention within and around the field of focal attention: A zoom lens model , 1986, Perception & psychophysics.

[6]  L M Adleman,et al.  Molecular computation of solutions to combinatorial problems. , 1994, Science.

[7]  Antonio Fernández-Caballero,et al.  On motion detection through a multi-layer neural network architecture , 2003, Neural Networks.

[8]  Barry D. Vaughan,et al.  Object-Based Visual Selection: Evidence From Perceptual Completion , 1998 .

[9]  Antonio Fernández-Caballero,et al.  Lateral interaction in accumulative computation: a model for motion detection , 2003, Neurocomputing.

[10]  T. Head.  Formal language theory and DNA: an analysis of the generative capacity of specific recombinant behaviors. , 1987, Bulletin of mathematical biology.

[11]  Paul W. K. Rothemund,et al.  A DNA and restriction enzyme implementation of Turing machines , 1995, DNA Based Computers.

[12]  J. Wolfe,et al.  Guided Search 2.0 A revised model of visual search , 1994, Psychonomic bulletin & review.

[13]  Gheorghe Paun,et al.  Simple Splicing Systems , 1998, Discret. Appl. Math..

[14]  S Ullman,et al.  Shifts in selective visual attention: towards the underlying neural circuitry. , 1985, Human neurobiology.

[15]  R J Lipton,et al.  DNA solution of hard computational problems. , 1995, Science.

[16]  Shaun P. Vecera,et al.  Toward a Biased Competition Account of Object-Based Segregation and Attention , 2000 .

[17]  José Mira Mira,et al.  Permanence Memory: A System for Real Time Motion Analysis in Image Sequences , 1992, MVA.

[18]  Antonio Fernández-Caballero,et al.  Spatio-temporal shape building from image sequences using lateral interaction in accumulative computation , 2003, Pattern Recognit..

[19]  M. Posner,et al.  Attention and the detection of signals. , 1980, Journal of experimental psychology.

[20]  Senén Barro,et al.  Local Accumulation of Persistent Activity at Synaptic Level: Application to Motion Analysis , 1995, IWANN.

[21]  Dennis Pixton,et al.  Splicing in abstract families of languages , 2000, Theor. Comput. Sci..

[22]  Jeffrey D. Ullman,et al.  Introduction to Automata Theory, Languages and Computation , 1979 .