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1. Neural networks and animal behavior
by Enquist, Magnus
2005, Monographs in behavior and ecology, ISBN 9780691096339, ix, 253
How can we make better sense of animal behavior by using what we know about the brain? This is the first book that attempts to answer this important question... 
Geography | Animal behavior | Life Sciences | Computers | Science | Neural Networks | General | Zoology | Computer simulation | Neural networks (Computer science)
Book
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2. Image processing using pulse-coupled neural networks
by Lindblad, Thomas and Skolan för teknikvetenskap (SCI) and KTH and Fysik
2005, 2nd rev. ed., ISBN 354024218X, xi, 164
It was stated in the preface to the ?rst edition of this book that image p- cessing by electronic means has been a very active ?eld for decades. This is... 
Image processing | Mechanical engineering & materials | Neural networks (Computer science) | Engineering | Biophysics/Biomedical Physics | Signal, Image and Speech Processing | Applied Optics, Optoelectronics, Optical Devices | Statistical Theory and Methods | Physics and Applied Physics in Engineering | Surfaces and Interfaces, Thin Films | Fysik | Physical Sciences | Naturvetenskap | Natural Sciences
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3. Artificial neural networks
by Cartwright, Hugh M., 1948
2015, Second edition., Methods in molecular biology, ISBN 1493922394, Volume 1260.
Biological applications | Neural networks (Computer science) | Artificial intelligence | Neural Networks (Computer)
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4. Full Text Overcoming catastrophic forgetting in neural networks
by Kirkpatrick, James and Pascanu, Razvan and Rabinowitz, Neil and Veness, Joel and Desjardins, Guillaume and Rusu, Andrei A and Milan, Kieran and Quan, John and Ramalho, Tiago and Grabska-Barwinska, Agnieszka and Hassabis, Demis and Clopath, Claudia and Kumaran, Dharshan and Hadsell, Raia
Proceedings of the National Academy of Sciences of the United States of America, ISSN 0027-8424, 03/2017, Volume 114, Issue 13, pp. 3521 - 3526
The ability to learn tasks in a sequential fashion is crucial to the development of artificial intelligence. Until now neural networks have not been capable of... 
Deep learning | Synaptic consolidation | Continual learning | Artificial intelligence | Stability plasticity | stability plasticity | CONNECTIONIST MODELS | deep learning | continual learning | MEMORY | MULTIDISCIPLINARY SCIENCES | synaptic consolidation | COMPLEMENTARY LEARNING-SYSTEMS | artificial intelligence | PREFRONTAL CORTEX | Learning | Mental Recall | Algorithms | Artificial Intelligence | Computer Simulation | Humans | Memory | Neural Networks (Computer) | Neuroplasticity | Physiological aspects | Neural circuitry | Observations | Biological Sciences | Physical Sciences
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5. Neural networks in chemistry and drug design
by Zupan, Jure and Gasteiger, J. (Johann) and Zupan, Jure
1999, 2nd ed., ISBN 3527297790, xxii, 380
Data processing | Neural networks (Computer science) | Chemistry
Book
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6. Full Text Communication in Neuronal Networks
by Simon B. Laughlin and Terrence J. Sejnowski
Science, ISSN 0036-8075, 9/2003, Volume 301, Issue 5641, pp. 1870 - 1874
Brains perform with remarkable efficiency, are capable of prodigious computation, and are marvels of communication. We are beginning to understand some of the... 
Brain | Axons | Energy consumption | Neuroscience | Reviews | Neurons | Signal noise | Nervous system | Energy efficiency | Gray matter | Synapses | MATTER | CODES | CORTEX | SYNAPSES | ORIENTATION | MULTIDISCIPLINARY SCIENCES | PATTERNS | OPTIMIZATION | COMPUTATION | ENERGY-METABOLISM | Action Potentials | Biological Evolution | Animals | Neuronal Plasticity | Humans | Neurons - physiology | Cell Communication | Brain - physiology | Nerve Net - physiology | Synaptic Transmission | Physiological aspects | Research | Brain chemistry | Neural networks | Neurology | Cognition & reasoning
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7. The handbook of brain theory and neural networks
by Arbib, Michael A and Amari, Shun'ichi
2003, 2nd ed., ISBN 9780262011976, xvii, 1290
Neural networks (Computer science) | Neural networks (Neurobiology)
Book
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8. Neural modeling and neural networks
by Ventriglia, F
1994, 1st ed., ISBN 0080422772, Volume no. 11., viii, 351
Nervous system | Computer simulation | Neurons | Neural networks (Neurobiology)
Book
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9. Full Text Efficient Processing of Deep Neural Networks: A Tutorial and Survey
by Sze, Vivienne and Yu-Hsin Chen and Tien-Ju Yang and Emer, Joel S
Proceedings of the IEEE, ISSN 0018-9219, 12/2017, Volume 105, Issue 12, pp. 2295 - 2329
Deep neural networks (DNNs) are currently widely used for many artificial intelligence (AI) applications including computer vision, speech recognition, and... 
VLSI | Neurons | energy-efficient accelerators | Tutorials | spatial architectures | Biological neural networks | dataflow processing | deep learning | ASIC | Neural networks | Machine learning | Computer architecture | Benchmark testing | low power | Convolutional neural networks | Artificial intelligence | deep neural networks | computer architecture | convolutional neural networks | machine learning | ENGINEERING, ELECTRICAL & ELECTRONIC | COPROCESSOR | Computer vision | Platforms | State of the art | Task complexity | Algorithms | Speech recognition | Hardware | Trends | Robotics
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10. Neural networks and psychopathology
: connectionist models in practice and research
by Ludik, Jacques, 1960 and Stein, Dan J
1998, ISBN 0521571634, xiii, 371
Research on connectionist models is one of the most exciting areas in cognitive science, and neural network models of psychopathology have immediate... 
Computer simulation | therapy | methods | diagnosis | Data processing | Neural networks (Neurobiology) | physiopathology | Mental Disorders | Psychopathology | Neural networks (Computer science) | Psychology, Pathological | Cognitive psychology | Neural Networks (Computer)
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11. Neural networks and genome informatics
by Wu, Catherine H and McLarty, J. W
2000, 1st ed., Methods in computational biology and biochemistry, ISBN 0080428002, Volume 1., 205
Genetics | Data processing | Genomes | Neural networks (Computer science) | Bioinformatics
Book
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12. Fundamentals of neural networks
: architectures, algorithms, and applications
by Fausett, Laurene V
1994, ISBN 0133341860, xvi, 461
Neural networks (Computer science)
Book
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13. Theoretical mechanics of biological neural networks
by MacGregor, Ronald J
1993, Neural networks, foundations to applications., ISBN 9780124642553, xii, 377
Neural networks (Computer science) | Neural circuitry
Book
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14. Neural network principles
by Harvey, Robert L
1994, ISBN 0130633305
Neural networks (Neurobiology)
Book
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15. Full Text Chimera-like States in Modular Neural Networks
by Hizanidis, Johanne and Kouvaris, Nikos E and Gorka, Zamora-López and Díaz-Guilera, Albert and Antonopoulos, Chris G
Scientific Reports, ISSN 2045-2322, 01/2016, Volume 6, Issue 1, p. 19845
Chimera states, namely the coexistence of coherent and incoherent behavior, were previously analyzed in complex networks. However, they have not been... 
ORGANIZATION | SYNCHRONIZATION | CAENORHABDITIS-ELEGANS | SMALL-WORLD | CONNECTIVITY | OSCILLATORS | MULTIDISCIPLINARY SCIENCES | DYNAMICS | NEURONS | BRAIN | Caenorhabditis elegans - physiology | Animals | Connectome | Nerve Net - physiology | Neurons - physiology | Nematodes | Coexistence | Synchronization | Neural networks | Xarxes neuronals (Informàtica) | Neurosciences | Computer simulation | Neurociències | Simulació per ordinador | Nervous system | Conducta (Psicologia) | Human behavior | Neural networks (Computer science) | Sistema nerviós
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16. Full Text Hyperbolic Hopfield Neural Networks
by Kobayashi, M
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 02/2013, Volume 24, Issue 2, pp. 335 - 341
In recent years, several neural networks using Clifford algebra have been studied. Clifford algebra is also called geometric algebra. Complex-valued Hopfield... 
Training | Learning systems | complex-valued neural networks | Algebra | Quaternions | Neurons | hyperbolic algebra | Clifford algebra | Hebbian theory | Biological neural networks | Hopfield neural networks (HNNs) | Hyperbolic algebra | Complex-valued neural networks | BACKPROPAGATION ALGORITHM | COMPUTER SCIENCE, HARDWARE & ARCHITECTURE | ASSOCIATIVE MEMORY | COMPUTER SCIENCE, THEORY & METHODS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Models, Theoretical | Neural Networks (Computer) | Usage | Mathematical models | Design and construction | Neural networks | Mathematical optimization | Simulation methods | Studies
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17. The handbook of brain theory and neural networks
by Arbib, Michael A
1995, ISBN 0262011484, xv, 1118
Handbooks, manuals, etc | Neural networks (Computer science) | Neural networks (Neurobiology)
Book
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18. Full Text Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification
by Maggiori, Emmanuel and Tarabalka, Yuliya and Charpiat, Guillaume and Alliez, Pierre
IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, 02/2017, Volume 55, Issue 2, pp. 645 - 657
We propose an end-to-end framework for the dense, pixelwise classification of satellite imagery with convolutional neural networks (CNNs). In our framework,... 
Context | Training | convolutional neural networks (CNNs) | deep learning | Satellites | Neurons | Training data | Classification | Biological neural networks | Remote sensing | satellite images | MULTISCALE | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | SPECTRAL-SPATIAL CLASSIFICATION | ENGINEERING, ELECTRICAL & ELECTRONIC | GEOCHEMISTRY & GEOPHYSICS | HYPERSPECTRAL IMAGES | REMOTE SENSING | DEEP | SEGMENTATION | FRAMEWORK | Neural networks | Research | Artificial neural networks | Satellite sensing | Data | Imagery | Satellite imagery | Maps | Localization | Framework | Image classification | Computer Vision and Pattern Recognition | Image Processing | Computer Science
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19. Artificial neural networks in biological and environmental analysis
by Hanrahan, Grady
2011, Analytical chemistry series, ISBN 9781439812587, xxii, 188
"Drawing on the experience and knowledge of a practicing professional, this book provides a comprehensive introduction and practical guide to the development,... 
Scientific applications | Biological applications | Data processing | Biology | Artificial intelligence | Neural networks (Computer science) | Environmental engineering
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20. Full Text Designing Neural Networks in Culture
by Wheeler, B.C and Brewer, G.J
Proceedings of the IEEE, ISSN 0018-9219, 03/2010, Volume 98, Issue 3, pp. 398 - 406
Technology has advanced to where it is possible to design and grow - with predefined geometry and surprisingly good fidelity - living networks of neurons in... 
Brain | Pharmaceutical technology | neural engineering | Neurons | Laboratories | Lithography | cellular lithography | patterning | Biological neural networks | Electrodes | Brain on chip | Neuroscience | Neural networks | neural culture | Biomedical engineering | Neural culture | Patterning | Neural engineering | Cellular lithography | SYSTEM | SELF-ASSEMBLED MONOLAYERS | NEURONAL NETWORKS | MICROELECTRODE ARRAY | PATTERNS | CELL-GROWTH | HIPPOCAMPAL-NEURONS | TOPOGRAPHICAL CONTROL | AGAROSE ARCHITECTURE | ENGINEERING, ELECTRICAL & ELECTRONIC | POLYETHYLENE-GLYCOL
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