Books on the topic 'Brain – Computer simulation'

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1

Horstmann, Wolfram. Explaining brains by simulation. Bielefeld, Germany: s.n., 2003.

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2

1933-, Cotterill Rodney, ed. Models of brain function. Cambridge: Cambridge University Press, 1989.

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3

Steyn-Ross, Alistair, and Moira Steyn-Ross. Modeling phase transitions in the brain. New York: Springer, 2010.

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4

Kim, Plunkett, and Rolls Edmund T, eds. Introduction to connectionist modelling of cognitive processes. Oxford: Oxford University Press, 1998.

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5

An introduction to natural computation. Cambridge, Mass: MIT Press, 1997.

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6

J, Sejnowski Terrence, ed. The computational brain. Cambridge, Mass: MIT Press, 1992.

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7

Andrew, Coward L., ed. A system architecture approach to the brain: From neurons to consciousness. Hauppauge, NY: Nova Science, 2005.

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8

David, Hutchison. Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009.

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9

Kasabov, Nikola. Evolving connectionist systems: Methods and applications in bioinformatics, brain study and intelligent machines. London: Springer, 2003.

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10

Trehub, Arnold. The cognitive brain. Cambridge, Mass: MIT Press, 1991.

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11

Hiroaki, Wagatsuma, ed. Neuromorphic and brain-based robots. Cambridge, UK: Cambridge University Press, 2011.

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12

Evolving connectionist systems: Methods and applications in bioinformatics, brain study and intelligent machines. London: Springer, 2003.

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13

1957-, He Bin, ed. Modeling and imaging of bioelectrical activity: Principles and applications. New York: Kluwer Academic/Plenum Publishers, 2004.

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14

International, Work-Conference on the Interplay Between Natural and Artificial Computation (2nd 2007 Manga del Mar Menor Spain). Nature inspired problem-solving methods in knowledge engineering: Second International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2007, La Manga del Mar Menor, Spain, June 18-21, 2007 : proceedings. Berlin: Springer, 2007.

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15

Rolls, Edmund T. Memory, attention, and decision-making: A unifying computational neuroscience approach. Oxford: Oxford University Press, 2008.

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16

Modeling brain function: The world of attractor neural networks. Cambridge [England]: Cambridge University Press, 1989.

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17

Pattern thinking. New York: Praeger, 1990.

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18

A, Reggia James, Ruppin Eytan, and Berndt Rita Sloan, eds. Neural modeling of brain and cognitive disorders. Singapore: World Scientific, 1996.

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19

Hippocampal microcircuits: A computational modeler's resource book. New York: Springer, 2010.

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20

J, Mira, and Álvarez José R. 1965-, eds. Mechanisms, symbols, and models underlying cognition: First International Work-Conference on the Interplay between Natural and Artificial Computation, IWINAC 2005, Las Palmas, Canary Islands, Spain, June 15-18, 2005 : proceedings, part I. Berlin: Springer, 2005.

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21

missing], [name. Advanced techniques in image-guided brain and spine surgery. New York, NY: Thieme, 2003.

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22

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. Berlin: Springer, 2009.

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23

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. Berlin: Springer, 2009.

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24

International Work-Conference on the Interplay Between Natural and Artificial Computation (2nd 2007 Manga del Mar Menor, Spain). Second International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2007, La Manga del Mar Menor, Spain, June 18-21, 2007 : proceedings. Berlin: Springer, 2007.

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25

Dietmar, Dietrich, ed. Simulating the mind: A technical neuropsychoanalytical approach. Wien: Springer, 2009.

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26

Gluck, Mark A. Gateway to memory: An introduction to neural network modeling of the hippocampus and learning. Cambridge, Mass: MIT Press, 2001.

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27

Egan, Greg. Zendegi. San Francisco: Night Shade Books, 2010.

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28

Zendegi. Gollancz: [S.l.], 2011.

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29

1946-, Vaina Lucia, ed. From the retina to the neocortex: Selected papers of David Marr. Boston: Birkhäuser, 1991.

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30

Theoretical models in biology: The origin of life, the immune system, and the brain. Oxford: Clarendon Press, 1994.

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31

Gillian, Cohen, Johnston Lolo Bob, Plunkett Kim, and Open University, eds. Exploring cognition: Damaged brains and neural networks : readings in cognitive neuropsychology and connectionist modelling. Hove: Psychology Press, 2000.

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32

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. Berlin: Springer, 2009.

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33

Computer simulation in brain science. Cambridge: Cambridge University Press, 1988.

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34

Cotterill, Rodney M. J. Computer Simulation in Brain Science. Cambridge University Press, 2012.

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35

Cotterill, Rodney M. J., ed. Computer Simulation in Brain Science. Cambridge University Press, 1988. http://dx.doi.org/10.1017/cbo9780511983467.

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36

Computer Simulation in Brain Science. Cambridge University Press, 2008.

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37

Neural Simulation Language: A System for Brain Modeling. MIT Press, 2002.

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38

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

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39

The Neural Simulation Language: A System for Brain Modeling. The MIT Press, 2002.

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40

Steyn-Ross, Moira, Walter J. Freeman, and D. Alistair Steyn-Ross. Modeling Phase Transitions in the Brain. Springer New York, 2012.

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41

Steyn-Ross, Moira, Walter Freeman, and D. Alistair Steyn-Ross. Modeling Phase Transitions in the Brain. Springer, 2010.

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42

(Translator), Varda Bental, ed. Routes: Brain and Mind Networks. Aa Publishing, 2004.

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43

Chakrabarti, Bikas K., and Rahul Banerjee. Models of Brain and Mind: Physical, Computational and Psychological Approaches. Elsevier Science & Technology Books, 2008.

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44

Rahul, Banerjee, and Chakrabarti B. K. 1952-, eds. Models of brain and mind: Physical, computational and psychological approaches. Amsterdam: Elsevier, 2008.

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45

1976-, Chen Zhe, ed. Correlative learning: A basis for brain and adaptive systems. Hoboken, N.J: John Wiley & Sons, 2007.

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46

Haykin, Simon, Zhe Chen, Suzanna Becker, and Jos J. Eggermont. Correlative Learning: A Basis for Brain and Adaptive Systems. Wiley & Sons, Incorporated, John, 2008.

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47

Kasabov, Nikola. Evolving Connectionist Systems: Methods and Applications in Bioinformatics, Brain Study and Intelligent Machines. Springer, 2014.

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48

Kasabov, Nikola. Evolving Connectionist Systems: Methods and Applications in Bioinformatics, Brain Study and Intelligent Machines (Perspectives in Neural Computing). Springer, 2002.

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49

Evolving Connectionist Systems: The Knowledge Engineering Approach (Evolving Connectionist Systems). 2nd ed. Springer, 2007.

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50

(Editor), J. A. Reggia, E. Ruppin (Editor), and D. L. Glanzman (Editor), eds. Disorders of Brain, Behavior, and Cognition: The Neurocomputational Perspective (Progress in Brain Research). Elsevier Science, 1999.

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