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1

Skrzypek, Josef, ed. Neural Network Simulation Environments. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2736-7.

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2

Skrzypek, Josef. Neural Network Simulation Environments. Springer US, 1994.

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3

Josef, Skrzypek, ed. Neural network simulation environments. Kluwer Academic Publishers, 1994.

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4

S, Mohan. Artificial neural network modelling. Indian National Committee on Hydrology, 2007.

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5

Czischek, Stefanie. Neural-Network Simulation of Strongly Correlated Quantum Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52715-0.

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6

Bui, Tung X. A neural-network based behavioral theory of tank commanders. Naval Postgraduate School, 1992.

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7

Khataee, A. R. Artificial neural network modeling of water and wastewater treatment processes. Nova Science Publishers, 2010.

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8

Blizard, M. A neural network simulation running on a TMS 320C40C/IBM PC platform. UMIST, 1993.

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9

Curram, Stephen. representing intelligent decision making in discrete event simulation: a stochastic neural network approach. typescript, 1997.

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10

Liu, Jinkun. Radial Basis Function (RBF) Neural Network Control for Mechanical Systems: Design, Analysis and Matlab Simulation. Springer Berlin Heidelberg, 2013.

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11

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

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12

Livingston, David L. Investigation of automated task learning, decomposition and scheduling. Old Dominion University Research Foundation, 1990.

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13

SpiNNaker: A Spiking Neural Network Architecture. now publishers, Inc., 2020. http://dx.doi.org/10.1561/9781680836523.

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14

SpiNNaker - a Spiking Neural Network Architecture. Now Publishers, 2020.

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15

Li, Guoqi, Yam Song (Yansong) Chua, Haizhou Li, Peng Li, Emre O. Neftci, and Lei Deng, eds. Spiking Neural Network Learning, Benchmarking, Programming and Executing. Frontiers Media SA, 2020. http://dx.doi.org/10.3389/978-2-88963-767-6.

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16

Czischek, Stefanie. Neural-Network Simulation of Strongly Correlated Quantum Systems. Springer International Publishing AG, 2020.

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17

Czischek, Stefanie. Neural-Network Simulation of Strongly Correlated Quantum Systems. Springer International Publishing AG, 2021.

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18

Astrov, Igor. Neural Network Control of Vehicles: Modeling and Simulation. Nova Science Publishers, Incorporated, 2022.

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19

Astrov, Igor. Neural Network Control of Vehicles: Modeling and Simulation. Nova Science Publishers, Incorporated, 2022.

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20

Wall, Julie, and Cornelius Glackin, eds. Spiking Neural Network Connectivity and its Potential for Temporal Sensory Processing and Variable Binding. Frontiers Media SA, 2014. http://dx.doi.org/10.3389/978-2-88919-239-7.

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21

CNND simulator, cellular neural network embedded in a simple dual computing structure: User's guide version 1.1. Computer and Automation Institute, Hungarian Academy of Sciences, 1989.

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22

Liu, Jinkun. Radial Basis Function Neural Network Control for Mechanical Systems: Design, Analysis and Matlab Simulation. Springer Berlin / Heidelberg, 2015.

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23

Artificial neural network modeling of water and wastewater treatment processes. Nova Science Publishers, 2010.

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24

(Editor), Michael L. Commons, Stephen Grossberg (Editor), and John E.R. Staddon (Editor), eds. Neural Network Models of Conditioning and Action: Quantitative Analyses of Behavior. Lawrence Erlbaum, 1991.

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25

Lawrence, Mark, and Al Petterson. Getting Started With Brain Maker: Neural Network Simulation Software User's Guide and Reference Manual/Introduction to Neural Networks and Disk. California Scientific Software, 1990.

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26

Artificial neural network-based methodologies for rational assessment of remaining life of existing pavements. Center for Highway Materials Research, University of Texas at El Paso, 1999.

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27

Radial Basis Function Rbf Neural Network Control For Mechanical Systems Design Analysis And Matlab Simulation. Springer-Verlag Berlin and Heidelberg GmbH &, 2013.

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28

Gluck, Mark A., and Catherine E. Myers. Gateway to Memory: An Introduction to Neural Network Modeling of the Hippocampus and Learning. MIT Press, 2001.

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29

Gateway to Memory: An Introduction to Neural Network Modeling of the Hippocampus and Learning (Issues in Clinical and Cognitive Neuropsychology). The MIT Press, 2001.

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30

Gateway to Memory: An Introduction to Neural Network Modeling of the Hippocampus and Learning (Issues in Clinical and Cognitive Neuropsychology). The MIT Press, 2000.

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31

(Editor), Michael L. Commons, Stephen Grossberg (Editor), and John E.R. Staddon (Editor), eds. Neural Network Models of Conditioning and Action: Quantitative Analyses of Behavior (Quantitative Analysis of Behavior Series). Lawrence Erlbaum, 1991.

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32

Dynamics On and Of Complex Networks Volume 2 Modeling and Simulation in Science Engineering and Technology. Springer-Verlag New York Inc., 2013.

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33

Domhoff, G. William. Dreaming Is an Intensified Form of Mind-Wandering, Based in an Augmented Portion of the Default Network. Edited by Kalina Christoff and Kieran C. R. Fox. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190464745.013.7.

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This chapter argues that dreaming is an intensified form of mind-wandering that makes use of embodied simulation. It further hypothesizes that the neural network that enables dreaming is very likely an augmented portion of the default network. This network is activated whenever there is (1) a mature and intact neural substrate that can support the cognitive process of dreaming; (2) an adequate level of cortical activation; (3) an occlusion of external stimuli; (4) a cognitively mature imagination system (a necessity indicated by the virtual lack of dreaming in preschoolers and its relative paucity until ages 8–9); and (5) the loss of conscious self-control, which may be neurologically mediated in the final step in a complex process by the decoupling of the dorsal attentional network from the anterior portions of the default network. If this testable theory proves to be correct, then dreaming may be the quintessential cognitive simulation.
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