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1

Gemma, Calvert, Spence Charles, and Stein Barry E, eds. The handbook of multisensory processes. MIT Press, 2004.

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2

NATO Advanced Study Institute on Multisensor Data and Information Processing for Rapid and Robust Situation and Threat Assessment (2005 Albena, Bulgaria). Advances and challenges in multisensor data and information processing. IOS Press, 2007.

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3

Klein, Lawrence A. Millimeter-wave and infrared multisensor design and signal processing. Artech House, 1997.

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4

Yaakov, Bar-Shalom, and University of California, Los Angeles. University Extension., eds. Multitarget-multisensor tracking: Applications and advances. Artech House, 1990.

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5

Zhu, Yunmin. Multisensor Decision And Estimation Fusion. Springer US, 2003.

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6

Hall, David L. Mathematical techniques in multisensor data fusion. Artech House, 1992.

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7

L, Hall David. Mathematical techniques in multisensor data fusion. Artech House, 1992.

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8

Clark, James Joseph. Data fusion for sensory information processing systems. Kluwer Academic Publishers, 1990.

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9

1954-, Docampo D., Figueiras-Vidal A. R, and Pérez-González F. 1967-, eds. Intelligent methods in signal processing and communications. Birkhäuser, 1997.

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10

Foresti, Gian Luca. Multisensor Surveillance Systems: The Fusion Perspective. Springer US, 2003.

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11

1936-, Aggarwal J. K., North Atlantic Treaty Organization. Scientific Affairs Division., and NATO Advanced Research Workshop on Multisensor Fusion for Computer Vision (1989 : Grenoble, France), eds. Multisensor fusion for computer vision. Springer-Verlag, 1993.

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12

C, Luo Ren, and Kay Michael G, eds. Multisensor integration and fusion for intelligent machines and systems. Ablex Pub., 1995.

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13

Iyengar, S. S. Advances in distributed sensor integration: Application and theory. Prentice Hall PTR, 1995.

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14

Raol, J. R. Multi-sensor data fusion with MATLAB. Taylor & Francis, 2010.

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15

Raol, J. R. Multi-sensor data fusion with MATLAB. Taylor & Francis, 2010.

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16

L, Hall David. Mathematical techniques in multi-sensor data fusion. 2nd ed. Artech House, 2004.

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17

Raol, J. R. Multi-sensor data fusion with MATLAB. CRC Press, 2010.

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18

Naidu, Prabhakar S. Sensor array signal processing. 2nd ed. CRC Press, 2009.

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19

V, Dasarathy Belur, and Society of Photo-optical Instrumentation Engineers., eds. Multisensor, multisource information fusion: Architectures, algorithms, and applications 2007 : 11-12 April, 2007, Orlando, Florida, USA. SPIE, 2007.

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20

NATO, Advanced Study Institute on Data Fusion for Situation Monitoring Incident Detection Alert and Response Management (2003 Yerevan Armenia). Data fusion for situation monitoring, incident detection, alert and response management. IOS Press, 2005.

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21

Varshney, Pramod K. Distributed detection and data fusion. Edited by Burrus C. S. Springer, 1996.

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22

Varshney, Pramod K. Distributed detection and data fusion. Edited by Burrus C. S. Springer, 1997.

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23

Ivan, Kadar, and Society of Photo-optical Instrumentation Engineers., eds. Signal processing, sensor fusion, and target recognition VI: 21-24 April 1997, Orlando, Florida. SPIE, 1997.

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24

Otmar, Loffeld, Society of Photo-optical Instrumentation Engineers., European Optical Society, and Commission of the European Communities. Directorate-General for Science, Research, and Development., eds. Sensors, sensor systems, and sensor data processing: June 16-17 1997, Munich, FRG. SPIE, 1997.

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25

V, Dasarathy Belur, and Society of Photo-optical Instrumentation Engineers., eds. Multisensor, multisource information fusion: Architectures, algorithms, and applications 2006 : 19-20 April 2006, Kissimmee, Florida, USA. SPIE, 2006.

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26

Braun, Jerome J. Multisensor, multisource information fusion: Architectures, algorithms, and applications 2011 : 27-28 April 2011, Orlando, Florida, United States. SPIE, 2011.

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27

V, Dasarathy Belur, Society of Photo-optical Instrumentation Engineers., and Ball Aerospace & Technologies Corporation (USA), eds. Multisensor, multisource information fusion : architectures, algorithms, and applications 2005: 30-31 March, 2005, Orlando, Florida, USA. SPIE, 2005.

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28

Braun, Jerome J. Multisensor, multisource information fusion: Architectures, algorithms, and applications 2010 : 7-8 April 2010, Orlando, Florida, United States. SPIE, 2010.

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29

V, Dasarathy Belur, and Society of Photo-optical Instrumentation Engineers., eds. Sensor fusion--architectures, algorithms, and applications VI: 3-5 April 2002, Orlando, [Florida] USA. SPIE, 2002.

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30

Pohl, Christine. Geometric aspects of multisensor image fusion for topographic map updating in the humid tropics. International Institute for Aerospace Survey and Earth Sciences, 1996.

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31

Ivan, Kadar, and Society of Photo-optical Instrumentation Engineers., eds. Signal processing, sensor fusion, and target recognition VII: 13-15 April 1998, Orlando, Florida. SPIE, 1998.

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32

Klein, Lawrence A. Sensor and data fusion: A tool for information assessment and decision making. 2nd ed. SPIE, 2012.

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33

Kadar, Ivan. Signal processing, sensor fusion, and target recognition XX: 25-27 April 2011, Orlando, Florida, United States. Edited by SPIE (Society). SPIE, 2011.

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34

(Society), SPIE, ed. Signal processing, sensor fusion, and target recognition XVIII: 13-15 April 2009, Orlando, Florida, United States. SPIE, 2009.

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35

Martin, Golz, Kuh Anthony, Obradovic Dragan, Tanaka Toshihisa, and SpringerLink (Online service), eds. Signal Processing Techniques for Knowledge Extraction and Information Fusion. Springer Science+Business Media, LLC, 2008.

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36

Stein, Barry E., Dora E. Angelaki, Lorraine E. Bahrick, and Michael S. Beauchamp. New Handbook of Multisensory Processing. MIT Press, 2012.

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37

Stein, Barry E., ed. The New Handbook of Multisensory Processing. The MIT Press, 2012. http://dx.doi.org/10.7551/mitpress/8466.001.0001.

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The major reference work for a rapidly advancing field synthesizes central themes, reports on current findings, and offers a blueprint for future research. Scientists' attempts to understand the physiology underlying our apprehension of the physical world was long dominated by a focus on the individual senses. The 1980s saw the beginning of systematic efforts to examine interactions among different sensory modalities at the level of the single neuron. And by the end of the 1990s, a recognizable and multidisciplinary field of "multisensory processes" had emerged. More recently, studies involvin
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38

The new handbook of multisensory processing. MIT Press, 2012.

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39

Kenney, Keith R. Philosophy for Multisensory Communication and Media. Lang AG International Academic Publishers, Peter, 2016.

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40

Kenney, Keith R. Philosophy for Multisensory Communication and Media. Lang AG International Academic Publishers, Peter, 2016.

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41

Calvert, Gemma A., Charles Spence, and Barry E. Stein, eds. The Handbook of Multisensory Processes. The MIT Press, 2004. http://dx.doi.org/10.7551/mitpress/3422.001.0001.

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A reference work for the emerging field of multisensory integration, covering multidisciplinary research that goes beyond the traditional "sense-by-sense" approach and recognizes that perception is fundamentally a multisensory experience. This landmark reference work brings together for the first time in one volume the most recent research from different areas of the emerging field of multisensory integration. After many years of using a modality-specific "sense-by-sense" approach, researchers across different disciplines in neuroscience and psychology now recognize that perception is fundamen
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42

Spence, Charles, Gemma A. Calvert, and Barry E. Stein. Handbook of Multisensory Processes. MIT Press, 2004.

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43

Spence, Charles, Gemma A. Calvert, and Barry E. Stein. Handbook of Multisensory Processes. MIT Press, 2004.

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44

and, Bruno. Epilogue. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198725022.003.0010.

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Multisensory interactions in perception are pervasive and fundamental, as we have documented throughout this book. In this final chapter, we propose that contemporary work on multisensory processing is a paradigm shift in perception science, calling for a radical reconsideration of empirical and theoretical questions within an entirely new perspective. In making our case, we emphasize that multisensory perception is the norm, not the exception, and we remark that multisensory interactions can occur early in sensory processing. We reiterate the key notions that multisensory interactions come in
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45

Bruno, Nicola, and Francesco Pavani. Perception. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198725022.001.0001.

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Perception: A Multisensory Perspective examines multisensory interactions as the key process behind how we perceive our own body, control its movements, perceive and recognize objects, respond to edible objects, perceive space, and perceive time. In addition, the book discusses multisensory processing in synaesthesia, multisensory attention, and the role of multisensory processing in learning. Multisensory phenomena in these domains are used to identify general principles, to introduce formal models, to present experimental methods, to discuss pathologies, and to illustrate applications within
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46

Merabet, Lotfi, and Alvaro Pascual-Leone. Studies of Crossmodal Functions with TMS. Edited by Charles M. Epstein, Eric M. Wassermann, and Ulf Ziemann. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780198568926.013.0029.

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In the brain, information from all the senses interacts and is integrated in order to create a unified sensory percept. Some percepts appear unimodal, and some, cross modal. Unimodal percepts can be modified by crossmodal interactions given that our brains process multiple streams of sensory information in parallel and promote extensive interactions. TMS can provide valuable insights on the neural substrates associated with multisensory processing in humans. TMS is commonly described as a ‘relatively painless’ method of stimulating the brain noninvasively. However, TMS itself is strong multise
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47

de Vignemont, Frédérique, Andrea Serino, Hong Yu Wong, and Alessandro Farnè, eds. The World at Our Fingertips. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198851738.001.0001.

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Where do you end and the external world begin? This might seem to be a straightforward, binary question: your skin is the boundary, with the self on one side and the rest of the world on the other. Peripersonal space shows that the division is not that simple. The boundary is blurrier than you might have thought. Our ability to monitor the space near the body appears to be deeply ingrained. Our evolutionary history has equipped our brains with a special mechanism to track multisensory stimuli that can potentially interact with our physical body in its immediate surroundings and prime appropria
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48

Aggarwal, J. K. Multisensor Fusion for Computer Vision. Springer London, Limited, 2013.

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49

Aggarwal, J. K. Multisensor Fusion for Computer Vision. Springer, 2010.

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50

Spence, Charles. Orienting Attention. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.015.

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The last 30 years or so have seen a rapid rise in research on attentional orienting from a crossmodal perspective. The majority of this research has tended to focus on the consequences of the covert orienting of attention (either to a sensory modality or spatial location) for both perception and neural information processing. The results of numerous studies have now highlighted the robust crossmodal links that exist in the case of both overt and covert, and both exogenous and endogenous spatial orienting. Neuroimaging studies have started to highlight the neural circuits underlying such crossm
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