Artificial Brains – Meta-Guide.com

Notes:

The development of artificial brains is being driven by advances in computer hardware, neuroscience, and computer science. These artificial brains are based on biologically inspired cognitive architectures and are being used in a variety of applications including CCTV monitoring, interpreting Adriatic surface currents, and guiding robots through maze-like environments. The China-Brain Project is a specific example of an artificial brain project that used an evolved neural net module approach and was funded with 3 million RMB over a four year period.

Artificial brains are a field of research that aims to build intelligent systems inspired by the structure and function of the human brain. These systems are typically made up of networks of computational units that are designed to perform tasks that are associated with intelligent behavior. They are used for a variety of purposes, such as analyzing large amounts of data, controlling robots, and interpreting complex information. Artificial brains may be based on brain-inspired algorithms that allow them to make decisions and choices similar to those made by humans. They may also be built using “glocal” similarity-matching, which allows them to generate sentences based on patterns in the data they are processing. Artificial brains are often implemented using software systems that contain thousands of evolved neural net modules.

This references below discuss artificial brains, which are networks of computational building blocks based on the structure of the human brain and designed to make decisions and behavioral choices. They are used in various fields such as artificial intelligence, robotics, and control systems. Also mentioned are various methods for building artificial brains, including using developmental neural networks and microchips, and the use of artificial brains in autonomous mental development systems and in the automatic design of artificial computational systems.

Autonomous mental development systems (AMDS) refer to artificial intelligence systems that are able to self-improve and adapt their own mental capabilities without human intervention. These systems would be able to learn and adapt to new situations and environments on their own, rather than needing to be explicitly programmed by humans. They might be used in a variety of applications, such as in robotics or other areas where it is important for an AI system to be able to adapt and learn from its environment. It is an active area of research in the field of artificial intelligence and there is ongoing work on developing and improving AMDS.

The automatic design of artificial computational systems refers to the process of using artificial intelligence (AI) techniques to design and create computational systems without human intervention. This could involve the use of machine learning algorithms to automate the design process, such as by training a model on a dataset of previously designed systems and using that model to generate new designs. In the context of artificial brains, the automatic design of computational systems could involve the use of AI techniques to design and create artificial neural networks or other types of brain-inspired computational systems. This approach could potentially allow for the creation of more sophisticated and powerful artificial brains that are able to learn and adapt to new situations and environments.

Virtual brain is a computer-generated simulation or model of the human brain. It is typically used for research and education purposes, allowing scientists and students to study the structure and functions of the brain in a virtual environment. Virtual brains may be used to test theories and hypotheses about the brain, to explore brain disorders and diseases, and to develop new treatments and therapies. They may also be used to study the effects of different stimuli or experiences on brain function, and to investigate the mechanisms underlying brain-based behaviors and abilities.

Wikipedia:

Artificial brain

References:

Neuromorphic and Brain-Based Robots (2011)

A world survey of artificial brain projects, Part I: Large-scale brain simulations H De Garis, C Shuo, B Goertzel, L Ruiting – Neurocomputing, 2010 – Elsevier Driven by rapid ongoing advances in computer hardware, neuroscience and computer science, Artificial Brain research and development are blossoming. This article constitutes the first half of a two-part world survey of artificial brain projects: this part dealing with large … Cited by 67 Related articles All 7 versions

A world survey of artificial brain projects, Part II: Biologically inspired cognitive architectures B Goertzel, R Lian, I Arel, H De Garis, S Chen – Neurocomputing, 2010 – Elsevier A number of leading cognitive architectures that are inspired by the human brain, at various levels of granularity, are reviewed and compared, with special attention paid to the way their internal structures and dynamics map onto neural processes. Four categories of … Cited by 55 Related articles All 9 versions

Toward a cognitive behavioral reference model of artificial brains Y Wang – Journal of Computational and Theoretical …, 2012 – ingentaconnect.com The human brain is the most complicated organ in the universe and is constantly the frontier yet to be explored in an interdisciplinary approach. Investigation into the natural and artificial brains and their cognitive mechanisms is a unique and hard problem in science that … Cited by 18 Related articles All 2 versions

Glocal memory: A critical design principle for artificial brains and minds B Goertzel, J Pitt, M Ikle, C Pennachin, L Rui – Neurocomputing, 2010 – Elsevier The concept of glocal memory (ie memory involving systematic coordination between localized memory traces and globalized dynamical-attractor-based memory traces) is reviewed, and is argued to be a critical principle for the design of artificial brains and … Cited by 19 Related articles All 5 versions

ATR artificial brain project: 2004 progress report A Buller, M Joachimczak, J Liu, K Shimohara – Artificial Life and Robotics, 2005 – Springer Abstract This article presents the key assumptions and current status of the ATR Artificial Brain Project being undertaken to create Volitron, a device equipped with circuitry that enables the emergence of thought. Such thought would be recognized from Volitron’s … Cited by 9 Related articles All 4 versions

[BOOK] Artificial brains: An evolved neural net module approach H De Garis – 2008 – Springer This Chapter shows how the first author and his research team build artificial brains [9]. An artificial brain is defined to be a collection of interconnected neural network modules (10,000– 50,000 of them), each of which is evolved quickly in special electronic programmable … Cited by 9 Related articles All 3 versions

[BOOK] On the Construction of Artificial Brains U Ramacher, C von der Malsburg – 2010 – books.google.com This book presents a first generation of artificial brains, using vision as sample application. An object recognition system is built, using neurons and synapses as exclusive building elements. The system contains a feature pyramid with 8 orientations and 5 resolution … Cited by 9 Related articles All 5 versions

The China-Brain Project: Building China’s Artificial Brain Using an Evolved Neural Net Module Approach H De Garis, JY Tang, Z Huang, L Bai… – Frontiers in artificial …, 2008 – books.google.com Abstract. Prof. Hugo de Garis has recently received a 3 million RMB, 4 year grant to build China’s first artificial brain, starting in 2008, that will consist of approximately 15,000 interconnected neural net modules, evolved one at a time in a special accelerator board [1 … Cited by 8 Related articles All 10 versions

A topographical method for the development of neural networks for artificial brain evolution S Young Jung – Artificial life, 2005 – dl.acm.org Abstract Developmental neural networks, which are constructed according to developmental rules (ie, genes), have the potential to be differentiated into heteromorphic neural structures capable of performing various kinds of activities. The fact that the biological neural … Cited by 5 Related articles All 6 versions

Development of an artificial brain for LifeRobot M Sugisaka, A Loukianov, F Xiongfeng, T Kubik… – Applied mathematics …, 2005 – Elsevier In this paper, some of the results for the development of an artificial brain for LifeRobot “Tarou” developed at Artificial Life and Robotics Laboratory of The University of Oita are introduced. Solutions for questions on how to build the artificial brain and how to … Cited by 4 Related articles All 4 versions

Artificial Brain and OfficeMate TR based on Brain Information Processing Mechanism SY Lee – Challenges for Computational Intelligence, 2007 – Springer Summary The Korean Brain Neuroinformatics Research Program has dual goals, ie, to understand the information processing mechanism in the brain and to develop intelligent machine based on the mechanism. The basic form of the intelligent machine is called … Cited by 4 Related articles All 5 versions

Artificial brain’10 years away’ J Fildes – BBC News, 2009 – globaldialoguefoundation.org Around two billion people are thought to suffer some kind of brain impairment, he said.” It is not impossible to build a human brain and we can do it in 10 years,” he said.” And if we do succeed, we will send a hologram to TED to talk.” Cited by 4 Related articles

On artificial brains JG Taylor – Neurocomputing, 2010 – Elsevier After a brief discussion about the purposes that might be followed in the creation of an artificial brain, we describe an approach using guidance of the human brain in the project GNOSYS, an EU project to construct a reasoning robot. This is extended to develop the … Cited by 3 Related articles All 2 versions

Sentence generation for artificial brains: A glocal similarity-matching approach R Lian, B Goertzel, R Liu, M Ross, M Queiroz… – Neurocomputing, 2010 – Elsevier A novel approach to sentence generation–SegSim, Sentence Generation by Similarity Matching–is outlined, and is argued to possess a number of desirable properties making it plausible as a model of sentence generation in the human brain, and useful as a guide for … Cited by 3 Related articles All 3 versions

Building a cheaper artificial brain H de GARIS, W Ce, T Batty – Neural Networks, 2005. IJCNN’05. …, 2005 – ieeexplore.ieee.org Abstract-This paper presentsa methodology for building artificial brains that is much cheaper than the first author’s earlier attempt. What initially cost $500,000, now costs about $3000. The much cheaper approachuses a Celoxica (. com) programmable board containing a … Cited by 2 Related articles All 2 versions

Artificial brains as networks of computational building blocks T Menezes, E Costa – Proc. of the 5th European Conference on …, 2008 – researchgate.net Abstract—The latest advances in the gridbrain agent brain model are presented. The gridbrain models brains as networks of computational components. The components are used as building blocks for computation, and provide base functionalities like: input/output … Cited by 2 Related articles All 5 versions

Grading flue-cured tobacco leaf based on artificial brain intelligent system H Liqun, H Wei, S Weijun… – Transactions of the …, 2008 – dl.sciencesocieties.org Abstract Measuring and grading flue-cured tobacco leaf is one of the important quality control means. It is imminent to be solved to investigate the reasonable characteristics and the way of automatically abstracting of flue-cured tobacco leaf quality and to design a type … Cited by 2 Related articles All 2 versions

Artificial Brains-A Cheap Method for Speeding the Evolution of Neural Network Modules for Artificial Brain Building H de Garis, Y Xianggian, H Di – Neural Networks, 2007. IJCNN …, 2007 – ieeexplore.ieee.org Abstract-This paper shows how a” Celoxica” electronic accelerator board (containing a Xilinx Virtex II FPGA chip) can be used to speed up, by a factor of about 50times, the evolution of neural network modules, so that building artificial brains that consist of 10,000 … Cited by 2 Related articles All 2 versions

Designing a Growing Functional Modules “Artificial Brain” J Leboeuf-Pasquier, EJGP Oceguera – BRAIN. Broad Research in …, 2012 – brain.edusoft.ro Abstract The present paper illustrates the design process for the Growing Functional Modules (GFM) learning based controller. GFM controllers are elaborated interconnecting four kinds of components: Global Goals, Acting Modules, Sensations and Sensing … Cited by 2 Related articles All 8 versions

Artificial brains H De Garis – Artificial General Intelligence, 2007 – Springer Summary This chapter introduces the idea of “Evolvable Hardware,” which applies evolutionary algorithms to the generation of programmable hardware as a means of achieving Artificial Intelligence. Cellular Automata-based Neural Networks are evolved in … Cited by 2 Related articles All 11 versions

The “China-brain” project A four year, 3 million RMB project to build a 15,000 evolved neural net module artificial brain in China H de GARIS, TJ Yu, H Zhiyong, B Lu… – … , 2008. CEC 2008.( …, 2008 – ieeexplore.ieee.org Abstract-The first author has recently received a 3 million RMB, 4 year grant to build China’s first artificial brain, starting in 2008, that will consist of approximately 15,000 interconnected neural net modules, evolved one at a time in a special accelerator board [1](which is 50 … Cited by 2 Related articles All 2 versions

Identification of dynamical structures in artificial brains: an analysis of boolean network controlled robots A Roli, M Villani, R Serra, L Garattoni… – AI* IA 2013: Advances in …, 2013 – Springer Abstract Automatic techniques for the design of artificial computational systems, such as control programs for robots, are currently achieving increasing attention within the AI community. A prominent case is the design of artificial neural network systems by means … Cited by 2 Related articles All 10 versions

Artificial Brain Based on Credible Neural Circuits in a Human Brain JR Burger – arXiv preprint arXiv:1008.5161, 2010 – arxiv.org Abstract: Neurons are individually translated into simple gates to plan a brain based on human psychology and intelligence. State machines, assumed previously learned in subconscious associative memory are shown to enable equation solving and rudimentary … Cited by 1 Related articles All 4 versions

Surgical Simulation of Cerebral Revascularization Via Skull Base Approaches in the Posterior Circulation Using Three-Dimensional Skull Model With Artificial Brain and Blood Vessels K Mori, T Yamamoto, Y Nakao, T Esaki – Neurologia medico-chirurgica, 2011 – jlc.jst.go.jp Posterior circulation revascularization is a challenging technique because microanastomosis must be performed in deep locations. A reproducible simulation model is proposed for training. The prototype three-dimensional skull model with artificial brain was … Cited by 1 Related articles All 4 versions

An Artificial Brain System of a Maze-Like Robot X Ruan, X Xu, X Li, J Zhou – Natural Computation, 2009. ICNC’ …, 2009 – ieeexplore.ieee.org Abstract This paper presents an Artificial Brain System of a Mazelike robot, which comprises of a perception unit and decision-making unit. The perception module is based on ART1 neural network, trained to identify the signposts of the maze; decision-making units is … Cited by 1 Related articles All 6 versions

CAM-Brain: ATR’s billion neuron artificial brain project H de Garis – Proc. of Int. Conf. on Evolutionary Computation – Citeseer Abstract This paper reports on progress made in the first 3 years of ATR’s” CAM-Brain” Project, which aims to use” evolutionary engineering” techniques to build/grow/evolve a RAM-and-cellular-automata based artificial brain consisting of thousands of … Cited by 1 Related articles All 2 versions

Artificial Brains H Garis – Artificial General Intelligence, 2007 – Springer This chapter introduces the idea of? Evolvable Hardware,? which applies evolutionary algorithms to the generation of programmable hardware as a means of achieving Artificial Intelligence. Cellular Automata-based Neural Networks are evolved in different modules, … Cited by 1 Related articles

Analysis and evaluation of neural network model for building artificial brain C ZHAO, Z HU – Journal of Computer Applications, 2009 – en.cnki.com.cn At present, the artificial brain research is still at its initial period, and the methods to construct artificial brain are being explored. The key part determining the performance of artificial brain is the neural network evolved by genetic algorithm. This paper studied the … Related articles

The BAB project (Big Artificial Brain) P Rabischong, G Paillet, P Raymond… – Bulletin de l’Academie …, 2013 – europepmc.org Recent advances in neuroscience allow us to envisage the creation of an artificial brain (BAB, for Big Artificial Brain) in order to reproduce cerebral functions without having to copy individual neurons, the complex properties of which are largely beyond our present …

Hardware Accelerators for Evolving Building Block Modules for Artificial Brains H de Garis – Adaptive Hardware and Systems, 2006. AHS 2006 …, 2006 – ieeexplore.ieee.org Abstract This paper argues that it will soon become technologically possible to build artificial brains at relatively low cost. The proposed approach to doing this is to evolve large numbers (tens of thousands) of neural network modules, each with its own simple function, and … All 4 versions

Approach to controlling robot by artificial brain based on parallel evolutionary neural network M Shi, W Pan, H de Garis… – Industrial Mechatronics and …, 2010 – ieeexplore.ieee.org Abstract-A novel approach to building an intelligent robot, which can be expected to show many intelligent behaviors as people do, is proposed. This approach exploits a computer device called Tesla Sl070, a personal supercomputer, to control a humanoid robot named … Related articles All 2 versions

An New Type Of Artificial Brain Using Controlled Neurons JR Burger – arXiv preprint arXiv:1504.03580, 2015 – arxiv.org Abstract: Plans for a new type of artificial brain are possible because of realistic neurons in logically structured arrays of controlled toggles, one toggle per neuron. Controlled toggles compute, in parallel, parameters of critical importance for each of several complex images …

Approach to Controlling Robot by Artificial Brain Based on Parallel Evolutionary Neural Network H de Garis – 2010 The 2nd International Conference on Industrial …, 2010 – cpfd.cnki.com.cn [??]: A novel approach to building an intelligent robot which can be expected to show many intelligent behaviors as people do, is proposed. This approach exploits a computer device called Tesla S1070, a personal supercomputer, to control a humanoid robot …

A basic Growing Functional Modules “artificial brain” J Leboeuf-Pasquier – Neurocomputing, 2015 – Elsevier Abstract The purpose of this paper is to exhibit the internal process of the Growing Functional Modules (GFM) controllers. These learning based controllers are graphically designed by the user, interconnecting four kinds of components: Global Goals, Acting … Related articles

Artificial Brain S Kumar, H Shanker – mitpublications.org ABSTRACT Artificial brain is a new era in the world. Everybody wants to make such type of brain that has consciousness fact like human brain. Human brain can think about position and take action according to the situation. Here we talk about the artificial consciousness: … Related articles All 2 versions

Artificial Brains & Robotics H de GARIS, S ZENG, D STORMONT, J HU, C WANG… – Citeseer Abstract–This article presents a new method for building artificial brains cheaply to be used for the control of autonomous robots. 10,000 s of neural network circuit modules, each with its own little function, are evolved one at a time in a “Celoxica” programmable (FPGA … Related articles

The CAM-Brain Machine (CBM) An FPGA Based Tool which Evolves Neural Net Circuit Modules in Seconds for Building a 75 Million Neuron Artificial Brain M KORKIN, H de GARIS – Citeseer Abstract. This article introduces the\ CAM-Brain Machine”(CBM), an FPGA based piece of hardware which implements a genetic algorithm (GA) to evolve a cellular automata (CA) based neural network circuit module, of approximately 1,000 neurons, in about a second, … Related articles All 2 versions

Cognitive Systems and Artificial Brains L Ogiela, MR Ogiela – Advances in Cognitive Information Systems, 2012 – Springer Abstract Cognitive systems founded in the fields of artificial brain design and operation show the direction in which computer science is developing hand in hand with cognitive science. Various applications of artificial and automatic solutions more and more often delight the … All 2 versions

Novel microchips: a step forward to construct an artificial brain V Anusuya – discovery.org.in Microchip is a set of interconnected electronic components such as transistors and resistors that are etched or imprinted on a tiny chip of a semiconducting material, such as silicon or germanium. Microchips are built layer by layer on a wafer of the semiconductor material … Related articles All 3 versions

The Artificial Brain M Negrotti – The Reality of the Artificial, 2012 – Springer Abstract Although the expression ‘artificial brain’, which was somewhat accepted in the 1950 and 1960s, is now obsolete, artificial intelligence research seems to be once again heading towards this objective after almost 50 years of attempts in which terms such as ‘artificial … All 2 versions

Artificial Brains H de Garis – Artificial General Intelligence, 2007 – books.google.com Summary. This chapter introduces the idea of “Evolvable Hardware,” which applies evolutionary algorithms to the generation of programmable hardware as a means of achieving Arti?cial Intelligence. Cellular Automata-based Neural Networks are evolved in … Related articles

An Artificial Brain for Intelligent Robots D Kimura, O Hasegawa – webmanage.ecust.edu.cn Abstract. To build an intelligent robot, we must develop an autonomous mental development system that incrementally and speedily learns from humans, its environments, and electronic data. This paper presents an ultra-fast, multi-modal, and online incremental transfer … Related articles

The mixed-signal design for a silicon Cort-X: A pathway to an artificial brain J Yuan – 2006 – repository.upenn.edu Abstract The cerebral cortex has been the subject of intense multidisciplinary research, because it is believed to be the seat of all high-level brain functions. Based on previous research in different fields, a modelling architecture is developed for a cortical region. A …

An Artificial Brain that Can Learn and Use Any Language W Hilberg – Glottotheory, 2010 – degruyter.com Abstract Based on findings in quantitative linguistics for natural network structures a neural network system has been developed recently that can learn and process any coherent language text. It is essentially a technical network depending on a new understanding of … Related articles

LUABAB: Leeds University Angry Birds Artificial Brain B Bennett – aibirds.org There is a long tradition of research into representing and rea- soning about space at Leeds [Randell et al., 1992; Cohn et al., 1997; Bennett, 2001]. The Angry Birds AI competition gives us an opportunity to put to use some of the ideas that we have developed in an applied … Related articles All 5 versions

[BOOK] Higher Intelligence: How to create a functional artificial brain PAJ Van der Made – 2013 – dl.acm.org Abstract Higher Intelligence details a decade-long quest to research the human brain with the aim to develop an artificial brain chip. Computers are great tools for number crunching, statistical analysis or surfing the internet but their usefulness is limited when it comes to …

Artificial Brains Learn To Adapt X Zhang, G Foderaro – 2014 – researchgate.net For every thought or behavior, the brain erupts in a riot of activity, as thousands of cells communicate via electrical and chemical signals. Each nerve cell influences others within an intricate, interconnected neural network. And connections between brain cells change …

Evolution of Artificial Brains in Simulated Animal Behaviour B TEGELUND, J WIKSTRÖM – 2013 – csc.kth.se Abstract In this report we simulate artificial intelligence in animals using genetic algorithms. In similar models, advanced artificial neural networks have been used for decision making. We present two simpler decision-making models. Using two models based on linear and … Related articles All 4 versions

ATR’s “CAM-Brain Machine” (CBM) and Artificial Brains An FPGA Based Hardware Tool which Evolves a Neural Net Circuit Module in a Second and Updates a 40 Million Neuron Artificial Brain in Real Time – Citeseer Abstract. This article introduces ATR’s” CAM-Brain Machine”(CBM), an FPGA based piece of hardware which implements a genetic algorithm (GA) to evolve a cellular automata (CA) based neural network circuit module (of approximately 1000 neurons) in about a second ( … Related articles All 2 versions

Artificial Brain based on Top-Down Selective Attention for Noise-Robust Recognition and Multimodal Integration SY Lee – INNS International Educational Symposium on Neural …, 2011 – eventos.spc.org.pe Abstract—Top-down selective attention is regarded as the brain mechanism to recognize interesting patterns from noisy and complex background. We present Artificial Brain, ie, an artificial cognitive system based on a cognitive model of top-down selective attention, and … Related articles All 2 versions

Using an artificial brain to interpret Adriatic surface currents C Schultz – Eos, Transactions American Geophysical Union, 2011 – Wiley Online Library Eos, Vol. 92, No. 48, 29 November 2011 representations of terrestrial vegetation, ocean carbon fluxes, and net primary production. They ran nine simulations, using three different concentrations of atmospheric carbon dioxide, three modes of ocean floor topography, … All 2 versions

Artificial Brain Intellectuality KS Khandare, NR Kharsan – 2014 – piserjournal.org Abstract: To support natural intelligence building intelligence in an object so that it can work accordingly for example–robots, thus reducing human labour and reducing human mistakes. For Humans Intelligence is no more than taking a right decision at right time. For … Related articles

The Myth of the Artificial Brain J Neirynck, L Garey – Your Brain and Your Self: What You Need to Know, 2009 – Springer For a long time, engineers were no more interested in consciousness than philosophers were interested in the steam engine. The typical engineer built supposedly neutral machinery: its ultimate usage would depend on ethical choices based on contemporary … All 2 versions

Artificial Brains. An Inexpensive Method for Accelerating the Evolution of Neural Network Modules for Building Artificial Brains H de GARIS, L Rui, H Di, H Jing – Frontiers in Artificial …, 2007 – books.google.com Abstract. This chapter shows how a “Celoxica” electronic board (containing a Xilinx Virtex II FPGA chip) can be used to accelerate the evolution of neural network modules that are to be evolved quickly enough, so that building artificial brains that consist of 10,000 s of … Related articles All 8 versions

Artificial Brain based on Brain-Inspired Algorithms for Human-Like Intelligent Functions SY Lee – Integration Technology, 2007. ICIT’07. IEEE …, 2007 – ieeexplore.ieee.org Abstract The Korean Brain Neuroinformatics Research Program got into the 3rd phase from July 2004 for 4 years, which isregarded as the final phase of Korean brain national research program started from November 1998 for 10 years. It is a joint effort of researchers from … All 2 versions

“Cam-Brain” Atr’S Billion Neuron Artificial Brain Project HGF Gers – Citeseer Abstract – This paper reports on progress made in the first 3 years of ATR’s “CAM- Brain” Project, which aims to use “evolutionary engineering” techniques to build/grow/evolve a RAM-and-cellular-automata based artificial brain consisting of thousands of … Related articles

Decision and Behavioral Choice Organized by Natural and Artificial Brains K Ishii, K Natsume, A Hanazawa – Eur Neurol, 2008 – karger.com This book is the second volume of Brain-Inspired IT series. It includes five invited papers and 59 selected technical papers from the Second International Symposium ‘Brain IT 2005’, held in Kitakyushu, Japan, on October 7–9, 2005. The explicit intent of the editors is to …

A Connectionist Approach to Mapping the Human Connectome Permits Simulations of Neural Activity Within an Artificial Brain C McNorgan, MF Joanisse – Brain connectivity, 2014 – online.liebertpub.com Abstract Data-driven models drawn from statistical correlations between brain activity and behavior are used to inform theory-driven models, such as those described by computational models, which provide a mechanistic account of these correlations. This … Related articles All 4 versions

Artificial Information Processing Model Based on Brain Using Neural Network and Fuzzy Cognitive Map SJ Kim – ????????? ?????? ?????, 2005 – dbpia.co.kr The explanation and knowledge about the information process in brain are important. Biologically, the information in the brain has a specific flow to transfer sensory information to some related organ.

Miniaturization and Optimization of Power Consumption in CNTFET Circuits for Use in the Manufacture of Artificial Neural Brain Cortex VA Badelbu, A Kashaninia – International …, 2012 – … .asmedigitalcollection.asme.org … That is flows off the smaller and lower power loss in the standby mode [3] . Since the size and power consumption is important in an artificial brain, this paper aims to optimize power consumption and miniaturization of CNTFET for LOP applications to use in artificial cerebral … All 3 versions

A Framework for the Implementation of Artificial Robotic Emotional Brain Based on Embryonic and Evolutionary FC Sica, RO Duarte, FG Guimarães – COGNITIVE 2013, The Fifth …, 2013 – thinkmind.org … In both cases, the artificial brain has the ability to learn, in a continuous way, new rules and structures on the manipulated knowledge. … application in evolutionary computation and electronics that deserves to be mentioned for its pioneering in the scope of artificial brains can be … Related articles

The EU Human Brain Project Is Unlikely to Create an Artificial Whole-Brain in a Decade F Gu – brain-mind-magazine.org … human brain. Index Terms—Human brain project, Blue Brain Project, whole-brain model, artificial brain UNDERSTANDING how the human brain works has been one of the greatest challenges to the human race. In December … Related articles

Mimicking The Brain: The Development Of Artificial Hippocampi E Vance, B Engel – 136.142.82.187 … The development of artificial brain chips, particularly those chips bypassing damaged hippocampal tissue, could have a massive impact on the lives of people suffering the effects of hippocampal damage, and therefore more effort should be put into research of such devices. … Related articles

Why Build a Virtual Brain? Large-scale Neural Simulations as Test-bed for Artificial Computing Systems M Colombo – 2015 – philsci-archive.pitt.edu … de Garis, H., Shuo, C., Goertzel, B., & Ruiting, L. (2010). A world survey of artificial brain projects, Part I: Large- scale brain simulations. Neurocomputing, 74, 3-29. … Goertzel, B., Ruiting, L., Itamar, A., de Garis, H., Chen S. (2010). A world survey of artificial brain projects, Part ii. …

Artificial Intelligence and the Brain: Creating a Super-human S Coggins – charlotteteachers.org … brain-tour http://science.howstuffworks.com/life/inside-the-mind/human-brain/brain4.htm http://www.technologyreview.com/featuredstory/522476/thinking-in-silicon/ http://www. artificialbrains.com/ http://singularityhub.com/2012/12/10/scientists-create-artificial-brain-with- … Related articles

Evolving an Artificial Visual Cortex for Object Recognition with Brain Programming G Olague, E Clemente, L Dozal… – EVOLVE-A Bridge …, 2014 – Springer … This section describes the characteristics of the evolutionary process used to synthesize AVCs, through the application of brain programming. Thus, the artificial brain is com- posed of different artificial tissues or layers, which perform a set of functions towards a single objective. … Cited by 4 Related articles All 2 versions

Brain-Like Artificial Intelligence: Analysis of a Promising Field M Thalgott – 2013 – ensiwiki.ensimag.fr … [9] Sun, R. (2000) Artificial Intelligence: Connectionist and Symbolic Approaches [10] Goertzel, B.; Lian, R.; Arel, I.; de Garis, H.; Chen, S. (2010) A World Survey of Artificial Brain Projects, Part II: Biologically Inspired Cognitive Architectures. … Related articles All 2 versions

From the Natural Brain to the Artificial Mind M Negrotti – Origins of Mind, 2012 – books.google.com … In such a case, we would have surely built an arti?cial brain, and, in so doing, we would have discovered how useless, or unmanageable, the notion of mind is. Page 407. From the Natural Brain to the Arti?cial Mind 409 References Aguirre, GK (2003). … Related articles