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Cellular Automata and Artificial Brain Dynamics

Crete Center for Quantum Complexity and Nanotechnology, Department of Physics, University of Crete, 71003 Heraklion, Greece
Department of Control Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague, 16000 Prague, Czech Republic
Instituto Universitario de Matemática Multidisciplinar, Universitat Politècnica de València, 46022 Valencia, Spain
Authors to whom correspondence should be addressed.
Math. Comput. Appl. 2018, 23(4), 75;
Received: 26 September 2018 / Revised: 12 November 2018 / Accepted: 13 November 2018 / Published: 16 November 2018
(This article belongs to the Special Issue Mathematical Modelling in Engineering & Human Behaviour 2018)
PDF [7608 KB, uploaded 16 November 2018]


Brain dynamics, neuron activity, information transfer in brains, etc., are a vast field where a large number of questions remain unsolved. Nowadays, computer simulation is playing a key role in the study of such an immense variety of problems. In this work, we explored the possibility of studying brain dynamics using cellular automata, more precisely the famous Game of Life (GoL). The model has some important features (i.e., pseudo-criticality, 1/f noise, universal computing), which represent good reasons for its use in brain dynamics modelling. We have also considered that the model maintains sufficient flexibility. For instance, the timestep is arbitrary, as are the spatial dimensions. As first steps in our study, we used the GoL to simulate the evolution of several neurons (i.e., a statistically significant set, typically a million neurons) and their interactions with the surrounding ones, as well as signal transfer in some simple scenarios. The way that signals (or life) propagate across the grid was described, along with a discussion on how this model could be compared with brain dynamics. Further work and variations of the model were also examined. View Full-Text
Keywords: cellular automata; game of life; brain dynamics cellular automata; game of life; brain dynamics

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Fraile, A.; Panagiotakis, E.; Christakis, N.; Acedo, L. Cellular Automata and Artificial Brain Dynamics. Math. Comput. Appl. 2018, 23, 75.

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Math. Comput. Appl. EISSN 2297-8747 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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