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Books on the topic 'Brain model: artificial intelligence'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Haken, H. Brain dynamics. 2nd ed. Springer, 2008.

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2

1947-, Kitamura Tadashi, ed. What should be computed to understand and model brain function?: From robotics, soft computing, biology and neuroscience to cognitive philosophy. ill., 2001.

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3

1964-, Beim Graben P., ed. Lectures in supercomputational neuroscience: Dynamics in complex brain networks. Springer, 2008.

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4

Joshi, Rajiv, Eduard Alarcon, Arvind Kumar, and Matt Ziegler. From Artificial Intelligence to Brain Intelligence. River Publishers, 2022. http://dx.doi.org/10.1201/9781003338215.

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5

Edelkamp, Stefan, and Alessio Lomuscio, eds. Model Checking and Artificial Intelligence. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74128-2.

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6

Peled, Doron A., and Michael J. Wooldridge, eds. Model Checking and Artificial Intelligence. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00431-5.

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7

van der Meyden, Ron, and Jan-Georg Smaus, eds. Model Checking and Artificial Intelligence. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20674-0.

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8

Wang, Yueming, ed. Human Brain and Artificial Intelligence. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1288-6.

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9

De Gregorio, Massimo, Vito Di Maio, Maria Frucci, and Carlo Musio, eds. Brain, Vision, and Artificial Intelligence. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11565123.

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10

Zeng, An, Dan Pan, Tianyong Hao, Daoqiang Zhang, Yiyu Shi, and Xiaowei Song, eds. Human Brain and Artificial Intelligence. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1398-5.

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11

Ying, Xiaomin, ed. Human Brain and Artificial Intelligence. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8222-4.

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12

Krauss, Patrick. Artificial Intelligence and Brain Research. Springer Berlin Heidelberg, 2024. http://dx.doi.org/10.1007/978-3-662-68980-6.

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13

Liu, Quanying, Youzhi Qu, Haiyan Wu, Yu Qi, An Zeng, and Dan Pan, eds. Human Brain and Artificial Intelligence. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4001-0.

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14

International Work-Conference on the Interplay Between Natural and Artificial Computation (3rd 2009 Santiago de Compostela, Spain). Methods and models in artificial and natural computation: A homage to Professor Mira's scientific legacy : International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2009, Santiago de Compostela, Spain, June 22-26, 2009, proceedings, part I. Springer, 2009.

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15

International Work-Conference on the Interplay Between Natural and Artificial Computation (3rd 2009 Santiago de Compostela, Spain). Methods and models in artificial and natural computation: A homage to Professor Mira's scientific legacy : International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2009, Santiago de Compostela, Spain, June 22-26, 2009, proceedings, part I. Springer, 2009.

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16

J, Mira, ed. Methods and models in artificial and natural computation: A homage to Professor Mira's scientific legacy : International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2009, Santiago de Compostela, Spain, June 22-26, 2009, proceedings, part I. Springer, 2009.

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17

Jablokov, Alexander. Brain thief. Tor, 2010.

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18

Müller, Berndt. Neural networks: An introduction. 2nd ed. Springer-Verlag, 1991.

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19

Müller, Berndt. Neural networks: An introduction. 2nd ed. Springer, 1995.

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20

Keller, Richard M. Artificial intelligence support for scientific model-building. NASA, Ames Research Center, Artificial Intelligence Research Branch, 1992.

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21

Keller, Richard. Artificial intelligence support for scientific model-building. NASA, Ames Research Center, Artificial Intelligence Research Branch, 1992.

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22

Mele, Francesco, Giuliana Ramella, Silvia Santillo, and Francesco Ventriglia, eds. Advances in Brain, Vision, and Artificial Intelligence. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-75555-5.

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23

Crow, Judy. Model-based reconfiguration: diagnosis and recovery. Langley Research Center, 1994.

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24

Balkenius, Christian. Natural intelligence in artificial creatures. Lund University, 1995.

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25

Keller, Richard. Applying knowledge compilation techniques to model-based reasoning. NASA Ames Research Center, Artificial Intelligence Research Branch, 1991.

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26

Ames Research Center. Artificial Intelligence Research Branch., ed. Applying knowledge compilation techniques to model-based reasoning. NASA Ames Research Center, Artificial Intelligence Research Branch, 1991.

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27

1937-, Aleksander Igor, ed. Neural computing architectures: The design of brain-like machines. North Oxford, 1989.

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28

Jablokov, Alexander. Brain thief. Tor, 2010.

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29

BI 2010 (2010 Toronto, Ont.). Brain informatics: International conference, BI 2010, Toronto, ON, Canada, August 28-30, 2010 : proceedings. Springer, 2010.

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30

Keane, Mark T. Towards an adequate cognitive model of analogical mapping. Trinity College, Department of Computer Science, 1991.

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31

Arena, Paolo, and Luca Patanè. Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots II: An Insect Brain Computational Model. Springer, 2013.

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32

Arena, Paolo, and Luca Patanè. Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots II: An Insect Brain Computational Model. Springer, 2016.

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33

Kitamura, Tadashi. What Should be Computed to Understand and Model Brain Function? From Robotics, Soft Computing, Biology and Neuroscience to Cognitive Philosophy. World Scientific Publishing Company, 2001.

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34

Brain dynamics. 2nd ed. Springer, 2008.

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35

What Should Be Computed to Understand and Model Brain Function?: From Robotics, Soft Computing, Biology and Neuroscience to Cognitive Philosophy. World Scientific Publishing Co Pte Ltd, 2001.

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36

What Should Be Computed to Understand and Model Brain Function?: From Robotics, Soft Computing, Biology and Neuroscience to Cognitive Philosophy. World Scientific Publishing Co Pte Ltd, 2001.

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37

Sejnowski, Terrence J., Patricia Smith Churchland, and Tomaso A. Poggio. Computational Brain. MIT Press, 2016.

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38

(Editor), José Mira, and José R. Álvarez (Editor), eds. Mechanisms, Symbols, and Models Underlying Cognition: First International Work-Conference on the Interplay Between Natural and Artificial Computation, ... Part I (Lecture Notes in Computer Science). Springer, 2005.

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39

Rolls, Edmund T. Brain Computations. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198871101.001.0001.

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The subject of this book is how the brain works. In order to understand this, it is essential to know what is computed by different brain systems; and how the computations are performed. The aim of this book is to elucidate what is computed in different brain systems; and to describe current computational approaches and models of how each of these brain systems computes. Understanding the brain in this way has enormous potential for understanding ourselves better in health and in disease. Potential applications of this understanding are to the treatment of the brain in disease; and to artifici

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40

Grossberg, Stephen. Conscious Mind, Resonant Brain. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190070557.001.0001.

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The book is the culmination of 50 years of intensive research by the author, who is broadly acknowledged to be the most important pioneer and current research leader who models how brains give rise to minds, notably how neural circuits in multiple brain regions interact together to generate psychological functions. The book provides a unified understanding of how, where, and why our brains can consciously see, hear, feel, and know about the world, and effectively plan and act within it. It hereby embodies a revolutionary Principia of Mind that clarifies how autonomous adaptive intelligence is

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41

Haussler, David. Probably Approximately Correct Learnability Theory (The Stanford Computer Science Video Journal : Artificial Intelligence Research L). Morgan Kaufmann Pub, 1993.

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42

Graben, Peter, Jürgen Kurths, Changsong Zhou, and Marco Thiel. Lectures in Supercomputational Neuroscience: Dynamics in Complex Brain Networks. Springer London, Limited, 2007.

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43

Neuro-Fuzzy Associative Machinery for Comprehensive Brain and Cognition Modelling (Studies in Computational Intelligence). Springer, 2007.

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44

An introduction to natural computation. MIT Press, 1997.

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45

Brain dynamics: Synchronization and activity patterns in pulse-coupled neural nets with delays and noise. Springer, 2002.

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46

(Editor), José Mira, and José R. Álvarez (Editor), eds. Nature Inspired Problem-Solving Methods in Knowledge Engineering: Second International Work-Conference on the Interplay Between Natural and Artificial ... Part II (Lecture Notes in Computer Science). Springer, 2007.

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47

Edelkamp, Alessio Lomuscio Stefan. Model Checking and Artificial Intelligence. Springer, 2008.

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48

LOK, Johnny Ch. Artificial Intelligence Brain Science Story. Independently Published, 2019.

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49

Goldstein, Boris, and Vadim Sakharov. ARTIFICIAL INTELLIGENCE - neuroscience of brain -. Universal Engine, 2016.

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50

Massimo De Gregorio,Vito Di Maio,Maria Frucci. Brain, Vision, and Artificial Intelligence. Springer, 2008.

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