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Books on the topic 'Models of neural elements'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 May 2022

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1

De Wilde, Philippe. Neural Network Models. London: Springer London, 1997. http://dx.doi.org/10.1007/978-1-84628-614-8.

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2

De Wilde, Philippe. Neural Networks Models. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/bfb0034478.

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3

K, Mohan Chilukuri, and Ranka Sanjay, eds. Elements of artificial neural networks. Cambridge, Mass: MIT Press, 1997.

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4

Domany, Eytan. Models of Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991.

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5

Domany, Eytan, J. Leo van Hemmen, and Klaus Schulten, eds. Models of Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-97171-6.

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6

Domany, Eytan, J. Leo van Hemmen, and Klaus Schulten, eds. Models of Neural Networks. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-4320-5.

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7

Domany, Eytan. Models of Neural Networks I. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995.

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8

Neural network models: An analysis. London: Springer, 1996.

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9

Physical models of neural networks. Singapore: World Scientific, 1990.

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10

van Hemmen, J. Leo, Jack D. Cowan, and Eytan Domany, eds. Models of Neural Networks IV. New York, NY: Springer New York, 2002. http://dx.doi.org/10.1007/978-0-387-21703-1.

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11

Domany, Eytan, J. Leo van Hemmen, and Klaus Schulten, eds. Models of Neural Networks I. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-79814-6.

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12

Rigatos, Gerasimos G. Advanced Models of Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-43764-3.

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13

Domany, Eytan, J. Leo van Hemmen, and Klaus Schulten, eds. Models of Neural Networks III. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-0723-8.

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14

Williams, Bryn Vaughan. Evolutionary neural networks: Models and applications. Birmingham: Aston University. Department of Computer Science and Mathematics, 1995.

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15

Nakagawa, Seiichi. Speech, hearing and neural network models. Tokyo: Ohmsha, 1995.

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16

Neural network models: Theory and projects. 2nd ed. London: Springer, 1997.

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17

Temporal-pattern learning in neural models. Berlin: Springer-Verlag, 1985.

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18

Neural network models in artificial intelligence. New York: E. Horwood, 1990.

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19

Tang, Huajin, Kay Chen Tan, and Zhang Yi. Neural Networks: Computational Models and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-69226-3.

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20

i Genís, Carme Torras. Temporal-Pattern Learning in Neural Models. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-51580-4.

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21

Wong, Kok Wai, B. Sumudu U. Mendis, and Abdesselam Bouzerdoum, eds. Neural Information Processing. Models and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17534-3.

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22

John, Milton. Dynamics of small neural populations. Providence, R.I: American Mathematical Society, 1996.

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23

John, Milton. Dynamics of small neural populations. Providence, R.I: American Mathematical Society, 1996.

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24

Chakradhar, Srimat T. Neural Models and Algorithms for Digital Testing. Boston, MA: Springer US, 1991.

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25

1943-, Agrawal Vishwani D., and Bushnell Michael L. 1950-, eds. Neural models and algorithms for digital testing. Boston: Kluwer Academic Publishers, 1991.

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26

Azim, Tayyaba, and Sarah Ahmed. Composing Fisher Kernels from Deep Neural Models. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98524-4.

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27

Chakradhar, Srimat T., Vishwani D. Agrawal, and Michael L. Bushneil. Neural Models and Algorithms for Digital Testing. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3958-2.

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28

Turner, Brandon M., Birte U. Forstmann, and Mark Steyvers. Joint Models of Neural and Behavioral Data. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-03688-1.

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29

Miller, Richard Kendall. Neural networks: Implementing associative memory models in neurocomputers. Lilburn, GA: Fairmont Press, 1990.

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30

Miller, R. K. Neural networks: Implementing associative memory models in neurocomputers. Lilburn, GA: Fairmont Press, 1990.

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31

Neural and brain modeling. San Diego, Calif: Academic Press, 1987.

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32

Neural network principles. Englewood Cliffs, NJ: Prentice Hall, 1994.

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33

Harvey, Robert L. Neural network principles. London: Prentice-Hall International, 1994.

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34

Costa, Álvaro. Evaluating public transport efficiency with neural network models. Loughborough: Loughborough University, Department of Economics, 1996.

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35

Errington, Phillip Anthony. Application of neural network models to chromosome classification. Manchester: University of Manchester, 1995.

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36

Ellacott, Stephen W. Mathematics of Neural Networks: Models, Algorithms and Applications. Boston, MA: Springer US, 1997.

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37

Bassis, Simone, Anna Esposito, and Francesco Carlo Morabito, eds. Recent Advances of Neural Network Models and Applications. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04129-2.

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38

Arbib, Michael A., and Shun-ichi Amari, eds. Dynamic Interactions in Neural Networks: Models and Data. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-4536-0.

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39

Zeidenberg, Matthew. Neural network models in artificial intelligence and cognition. Chichester: Ellis Horwood, 1989.

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40

Tkacz, Greg. Forecasting GDP growth using artificial neural networks. Ottawa: Bank of Canada, 1999.

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41

1938-, Beeman David, ed. The book of GENESIS: Exploring realistic neural models with the GEneral NEural SImulation System. 2nd ed. Santa Clara, Calif: TELOS, 1998.

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42

1938-, Beeman David, ed. The book of GENESIS: Exploring realistic neural models with the GEneral NEural SImulation System. Santa Clara, Calif: TELOS, 1995.

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43

DeFelipe, Javier. The Golden Era for Artistic Creativity in Neuroscience. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190842833.003.0003.

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Abstract:

Section B focuses on the artistic skills and emotions of Cajal and other important pioneers in neuroscience, using their own words to describe the artistic emotions they experienced when visualizing the neural elements. This section also deals with the verification in recent years of many of the descriptions and illustrations of the early neuroanatomists, particularly those of Cajal. The last part of this section describes how the neuronal forests have served as an unlimited source of artistic and poetic inspiration to many scientists, not only in the early days of the research of the brain, but also in modern times.

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44

Mehrotra, Kishan, Chilukuri Mohan, and Sanjay Ranka. Elements of Artificial Neural Networks. MIT Press, 2016.

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45

Mehrotra, Kishan, Chilukuri Mohan, and Sanjay Ranka. Elements of Artificial Neural Networks. The MIT Press, 1996. http://dx.doi.org/10.7551/mitpress/2687.001.0001.

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46

1947-, Domany E., Hemmen, J. L. van 1947-, Schulten K, and Braitenberg Valentino, eds. Models in neural networks. Berlin: Springer-Verlag, 1991.

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47

Neural Models of Plasticity. Elsevier, 1989. http://dx.doi.org/10.1016/b978-0-12-148955-7.x5001-2.

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48

Domany, E., and J. L. Van Hemmen. Models of Neural Networks (Physics of Neural Networks). Springer-Verlag, 1991.

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49

1947-, Domany E., Hemmen, J. L. van 1947-, and Schulten K, eds. Models of neural networks III. New York: Springer-Verlag, 1996.

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50

Domany, E., and J. L. Van Hemmen. Models of Neural Networks I (Physics of Neural Networks). 2nd ed. Springer-Verlag, 1995.

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