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1

Rojas, Raúl. Neural networks: A systematic introduction. Springer-Verlag, 1996.

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2

Dreyfus, Ge rard. Apprentissage statistique. 3rd ed. Eyrolles, 2008.

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3

Dayhoff, Judith E. Neural network architectures: An introduction. Van Nostrand Reinhold, 1990.

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4

1933-, Tōru Michio, ed. Neurotransmitters in neuronal plasticity and psychiatric disorders: Proceedings of the Tenth Workshop on Neurotransmitters and Diseases, Tokyo, June 5, 1993. Excerpta Medica, 1993.

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5

1969-, McKenna Stephen J., and Psarrou Alexandra, eds. Dynamic vision: From images to face recognition. Imperial College Press, 2000.

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6

Schmajuk, Nestor A. Animal learning and cognition: A neural network approach. Cambridge University Press, 1997.

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7

Spitzer, Manfred. Lernen: Gehirnforschung und die Schule des Lebens. Spektrum Akademischer Verlag, 2006.

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8

Spitzer, Manfred. Lernen: Gehirnforschung und die Schule des Lebens. Spektrum Akademischer Verlag, 2002.

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9

(Editor), John J. Rieser, Daniel H. Ashmead (Editor), Ford Ebner (Editor), and Anne L. Corn (Editor), eds. Blindness and Brain Plasticity in Navigation and Object Perception. Lawrence Erlbaum, 2007.

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10

McGaugh, James L., and Robert C. A. Frederickson. Peripheral Signaling of the Brain: Role in Neural-Immune Interactions and Learning and Memory (Neuronal Control of Bodily Function). Hogrefe & Huber Pub, 1990.

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11

R, Wolpaw Jonathan, Schmidt John T, and Vaughan Theresa M, eds. Activity-driven CNS changes in learning and development. New York Academy of Sciences, 1991.

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12

R, Wolpaw Jonathan, Schmidt John T, Vaughan Theresa M, State University of New York at Albany., and New York Academy of Sciences., eds. Activity-driven CNS changesin learning and development. New York Academy of Sciences, 1991.

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13

Neural Network Architectures: An Introduction. Van Nostrand Reinhold, 1989.

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14

(Editor), Tamas D. Gedeon, and Lance C.C. Fung (Editor), eds. AI 2003: Advances in Artificial Intelligence: 16th Australian Conference on AI, Perth, Australia, December 3-5, 2003, Proceedings (Lecture Notes in Computer ... / Lecture Notes in Artificial Intelligence). Springer, 2004.

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15

Bayesian Networks and Decision Graphs (Information Science and Statistics). Springer, 2007.

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16

Sastry, Kumara, Martin Pelikan, and Erick Cantú-Paz. Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications. Springer, 2010.

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17

(Editor), Martin Pelikan, Kumara Sastry (Editor), and Erick Cantú-Paz (Editor), eds. Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications (Studies in Computational Intelligence). Springer, 2006.

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