Can cellular automata be a representative model for visual perception dynamics?

Beigzadeh, Maryam; Golpayegani, Seyed Mohammad Reza Hashemi; Gharibzadeh, Shahriar

doi:10.3389/fncom.2013.00130

Cited by 9 publications

(4 citation statements)

References 9 publications

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“…A complex Lorenz system was studied in [27]. The chaotic dynamic of visual perception was investigated in [28]. The combination of fuzzy logic and chaos seems very interesting since it can have applications in the study of biological systems.…”

Section: If X Is a Then Y Is Bmentioning

confidence: 99%

A chaotic iterative fuzzy modeling of circulating a simple sentence

et al. 2019

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In this paper, we propose a new model to describe variations in interpretation and perception of a simple sentence by different people. To show the understandability of a simple sentence in the prediction of future situations, the meaning of a sentence is modeled as a fuzzy ifthen rule, and the fuzzy model is investigated in an iterative process. The main goal of the paper is modeling a linguistic rule. This is done using an if-then rule and its variation through one person to another. The model predicts that the interpretation reaching the final person in the following years can be chaotic and thus unpredictable.

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Section: If X Is a Then Y Is Bmentioning

confidence: 99%

A chaotic iterative fuzzy modeling of circulating a simple sentence

et al. 2019

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“…After initialization, all cells in the grid change or update their state (each cell may be in one of a finite number of possible discrete states) simultaneously according to fixed update rules for each cell type. They offer us a simple approach, from both the architectural and behavioral points of view, for modeling the local properties of the retinal layers [5] [36]. A cellular automaton is a dynamic spatial model allowing the contents of the cells to change according to local transition rules that apply to all cells in the same way at each time step.…”

Section: Retinal Architecturementioning

confidence: 99%

“…We chose a granular model that could evolve and that was governed deterministically by underlying mathematics. We are interested in solutions based on cellular automata [4] [5]. Cell-based automata networks share some features with biological neurons and can form a model with the appropriate rules.…”

Section: Introductionmentioning

confidence: 99%

Architectural Model of a Biological Retina Using Cellular Automata

Devillard¹,

Heit²

2014

JCC

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Developments in neurophysiology focusing on foveal vision have characterized more and more precisely the spatiotemporal processing that is well adapted to the regularization of the visual information within the retina. The works described in this article focus on a simplified architectural model based on features and mechanisms of adaptation in the retina. Similarly to the biological retina, which transforms luminance information into a series of encoded representations of image characteristics transmitted to the brain, our structural model allows us to reveal more information in the scene. Our modeling of the different functional pathways permits the mapping of important complementary information types at abstract levels of image analysis, and thereby allows a better exploitation of visual clues. Our model is based on a distributed cellular automata network and simulates the retinal processing of stimuli that are stationary or in motion. Thanks to its capacity for dynamic adaptation, our model can adapt itself to different scenes (e.g., bright and dim, stationary and moving, etc.) and can parallelize those processing steps that can be supported by parallel calculators.

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“…Employing CA in the field of neuroscience has shown successful results in the interpretation of some cognitive aspects of the brain [4] [5], [6], [7] We have proposed before that an appropriate form of CA could be used in modeling the visual perceptual dynamics [9]. In this letter we show that by considering the real anatomical connections among the brain networks and using it carefully in the structure of the CA, it could be a well representative model for visual perception, both structurally and dynamically.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the EDR Performance in Seismic Control of Steel Structures Using Endurance Time Method

Foyouzat¹,

Estekanchi²

2016

Scientia Iranica

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A phenomenological model of visual perceptual dynamics is proposed based upon the cellular automata (CA) which considers the anatomical connections between visual areas of the macaque brain. Some other important characteristics of neural networks of the brain are also included in the model, such as the excitatory-inhibitory ratio of neural populations, synaptic delays, etc. A new form of "geometric mean interaction rules" among neural populations are also introduced which could be considered more realistic than the previous "arithmetic mean-based rules". This computational model is capable of showing interesting dynamical behaviors, seen in the visual perceptual states of the brain.

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Can cellular automata be a representative model for visual perception dynamics?

Cited by 9 publications

References 9 publications

A chaotic iterative fuzzy modeling of circulating a simple sentence

A chaotic iterative fuzzy modeling of circulating a simple sentence

Architectural Model of a Biological Retina Using Cellular Automata

Evaluation of the EDR Performance in Seismic Control of Steel Structures Using Endurance Time Method

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