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1

Bhowal, Anirban, and Rakhesh Singh Kshetrimayum. Advanced Spatial Modulation Systems. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9960-6.

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2

Kilfoyle, Daniel B. Spatial modulation in the underwater acoustic communication channel. Cambridge, Mass: Massachusetts Institute of Technology, 2000.

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3

Uzi, Efron, ed. Spatial light modulator technology: Materials, devices, and applications. New York: Marcel Dekker, 1995.

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4

Rohweder, Daniel Benjamin. Signal Constellations with Algebraic Properties and their Application in Spatial Modulation Transmission Schemes. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-37114-2.

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5

1930-, Penn William A., Society of Photo-optical Instrumentation Engineers., and University of Rochester. Institute of Optics., eds. Liquid crystals and spatial light modulator materials: 21-22 August 1986, San Diego, California. Bellingham, Wash., USA: SPIE--the International Society for Optical Engineering, 1986.

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6

Mei-Li, Hsieh, and National Institute of Standards and Technology (U.S.), eds. Performance enhancement of a joint transform correlator using the directionality of a spatial light modulator. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1998.

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7

Mei-Li, Hsieh, and National Institute of Standards and Technology (U.S.), eds. Directionality of an electrically-addressable spatial light modulator and its application to a joint transform correlator. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1998.

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8

Bhowal, Anirban, and Rakhesh Singh Kshetrimayum. Advanced Spatial Modulation Systems. Springer Singapore Pte. Limited, 2020.

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9

Bhowal, Anirban, and Rakhesh Singh Kshetrimayum. Advanced Spatial Modulation Systems. Springer Singapore Pte. Limited, 2021.

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10

Efron, Uzi. Spatial Light Modulator Technology (Optical Engineering). CRC, 1994.

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11

Cohen, Marlene R., and John H. R. Maunsell. Neuronal Mechanisms of Spatial Attention in Visual Cerebral Cortex. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.007.

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Attention is associated with improved performance on perceptual tasks and changes in the way that neurons in the visual system respond to sensory stimuli. While we now have a greater understanding of the way different behavioural and stimulus conditions modulate the responses of neurons in different cortical areas, it has proven difficult to identify the neuronal mechanisms responsible for these changes and establish a strong link between attention-related modulation of sensory responses and changes in perception. Recent conceptual and technological advances have enabled progress and hold promise for the future. This chapter focuses on newly established links between attention-related modulation of visual responses and bottom-up sensory processing, how attention relates to interactions between neurons, insights from simultaneous recordings from groups of cells, and how this knowledge might lead to greater understanding of the link between the effects of attention on sensory neurons and perception.
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12

Liquid Crystal on Silicon Devices: Modeling and Advanced Spatial Light Modulation Applications. MDPI, 2019. http://dx.doi.org/10.3390/books978-3-03921-829-5.

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13

Rohweder, Daniel Benjamin. Signal Constellations with Algebraic Properties and Their Application in Spatial Modulation Transmission Schemes. Springer Fachmedien Wiesbaden GmbH, 2022.

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14

Saalmann, Yuri B., and Sabine Kastner. Neural Mechanisms of Spatial Attention in the Visual Thalamus. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.013.

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Neural mechanisms of selective attention route behaviourally relevant information through brain networks for detailed processing. These attention mechanisms are classically viewed as being solely implemented in the cortex, relegating the thalamus to a passive relay of sensory information. However, this passive view of the thalamus is being revised in light of recent studies supporting an important role for the thalamus in selective attention. Evidence suggests that the first-order thalamic nucleus, the lateral geniculate nucleus, regulates the visual information transmitted from the retina to visual cortex, while the higher-order thalamic nucleus, the pulvinar, regulates information transmission between visual cortical areas, according to attentional demands. This chapter discusses how modulation of thalamic responses, switching the response mode of thalamic neurons, and changes in neural synchrony across thalamo-cortical networks contribute to selective attention.
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15

Wang, Bin. Intraseasonal Modulation of the Indian Summer Monsoon. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.616.

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The strongest Indian summer monsoon (ISM) on the planet features prolonged clustered spells of wet and dry conditions often lasting for two to three weeks, known as active and break monsoons. The active and break monsoons are attributed to a quasi-periodic intraseasonal oscillation (ISO), which is an extremely important form of the ISM variability bridging weather and climate variation. The ISO over India is part of the ISO in global tropics. The latter is one of the most important meteorological phenomena discovered during the 20th century (Madden & Julian, 1971, 1972). The extreme dry and wet events are regulated by the boreal summer ISO (BSISO). The BSISO over Indian monsoon region consists of northward propagating 30–60 day and westward propagating 10–20 day modes. The “clustering” of synoptic activity was separately modulated by both the 30–60 day and 10–20 day BSISO modes in approximately equal amounts. The clustering is particularly strong when the enhancement effect from both modes acts in concert. The northward propagation of BSISO is primarily originated from the easterly vertical shear (increasing easterly winds with height) of the monsoon flows, which by interacting with the BSISO convective system can generate boundary layer convergence to the north of the convective system that promotes its northward movement. The BSISO-ocean interaction through wind-evaporation feedback and cloud-radiation feedback can also contribute to the northward propagation of BSISO from the equator. The 10–20 day oscillation is primarily produced by convectively coupled Rossby waves modified by the monsoon mean flows. Using coupled general circulation models (GCMs) for ISO prediction is an important advance in subseasonal forecasts. The major modes of ISO over Indian monsoon region are potentially predictable up to 40–45 days as estimated by multiple GCM ensemble hindcast experiments. The current dynamical models’ prediction skills for the large initial amplitude cases are approximately 20–25 days, but the prediction of developing BSISO disturbance is much more difficult than the prediction of the mature BSISO disturbances. This article provides a synthesis of our current knowledge on the observed spatial and temporal structure of the ISO over India and the important physical processes through which the BSISO regulates the ISM active-break cycles and severe weather events. Our present capability and shortcomings in simulating and predicting the monsoon ISO and outstanding issues are also discussed.
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16

Scolari, Miranda, Edward F. Ester, and John T. Serences. Feature- and Object-Based Attentional Modulation in the Human Visual System. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.009.

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To increase efficiency, sensory systems process only a subset of available inputs in accord with the behavioural goals of the observer. The mechanisms that support the prioritization of relevant over irrelevant stimuli, referred to collectively as selective attention, can operate on the basis of spatial location (space-based attention), low-level visual features (e.g. orientation or colour; feature-based attention), or holistic objects (object-based attention). This chapter reviews human behavioural, electrophysiological, and neuroimaging data pertaining to the effects and control of the latter two mechanisms. Based on an increasingly rich literature spanning several decades, the authors argue that even though feature- and object-based attention are often treated as independent mechanisms, they should instead be described along a single continuum in which the information selected for prioritized processing (whether it be a single feature or a holistic object representation) is flexibly dictated by task demands.
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17

Lu, Zhong-Lin, and George Sperling. Second-Order Mach Bands, Chevreul, and Craik-O’Brien-Cornsweet Illusions. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0053.

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Second-order texture illusions, corresponding to Mach bands, Chevreul, and Craik-O’Brien-Cornsweet illusions in brightness perception, are generated by replacing luminance modulations in the classic stimuli with modulations of texture contrast. Whereas the classic (first-order) illusions exhibit changes in lightness or darkness near boundaries, the second-order stimuli exhibit analogous perceptual effects that are increases or decreases in apparent texture contrast with no concomitant change in apparent brightness. The magnitudes of the second-order texture-contrast changes are comparable to brightness changes in the classic first-order illusions. These results indicate that second-order (texture) illusions involve spatial interactions that are remarkably similar to those in first-order (luminance) processing.
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18

Congendo, Marco, and Fernando H. Lopes da Silva. Event-Related Potentials. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0039.

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Event-related potentials (ERPs) can be elicited by a variety of stimuli and events in diverse conditions. This chapter covers the methodology of analyzing and quantifying ERPs in general. Basic models (additive, phase modulation and resetting, potential asymmetry) that account for the generation of ERPs are discussed. The principles and requirements of ensemble time averaging are presented, along with several univariate and multivariate methods that have been proposed to improve the averaging procedure: wavelet decomposition and denoising, spatial, temporal and spatio-temporal filtering. We emphasize basic concepts of principal component analysis, common spatial pattern, and blind source separation, including independent component analysis. We cover practical questions related to the averaging procedure: overlapping ERPs, correcting inter-sweep latency and amplitude variability, alternative averaging methods (e.g., median), and estimation of ERP onset. Some specific aspects of ERP analysis in the frequency domain are surveyed, along with topographic analysis, statistical testing, and classification methods.
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19

Penn. Liquid Crystals and Spatial Light Modulator Materials (Proceedings of Spie--The International Society for Optical E). SPIE-International Society for Optical Engine, 1986.

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20

Robertson, Ian H., and Redmond G. O'Connell. Rehabilitation of Attention Functions. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.021.

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The evidence for the effectiveness of rehabilitation of three types of attention—selectivity, sustained attention, and attentional switching—is reviewed. Limited but significant effects in all three domains are observed, though evidence for generalization to wider everyday life functions remains relatively sparse. In the case of sustained attention and also in the case of spatial selectivity, the modulating effects of arousal are shown to be important, and higher level executive deficits may at times be exacerbated or even caused by lowered levels of arousal. Conversely, methods of modulating arousal may be used to improve sustained attention and executive functions in a range of clinical conditions. Attentional functions are key to other cognitive domains such as attention and perception, and so the promising evidence for attentional rehabilitation may contribute to the rehabilitation of other cognitive domains also.
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21

Salgals, Toms. Development and Assessment of a Spectrally Efficient Hybrid Optical Communication Systems. RTU Press, 2022. http://dx.doi.org/10.7250/9789934228056.

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Thesis describes the wavelength division multiplexed fiber optic communication systems, i.e., assessment of the development of PON and DCI. Experimentally evaluate the application of spectrally efficient multi-level pulse amplitude modulation formats to increase the performance of PON, DCI and RoF solutions for 5G and beyond implementation. Application of SDM technology for the implementation of a spectrally and spatial efficient wavelength division multiplexed FOTS is evaluated. Spectrally efficient next-generation optical system for the transmission of millimeter-wave radio signals over fiber for cellular mobile communications and new hybrid fiber optic transmission system architecture capable of broadband Internet data transmission and radio signal transmission over single optical fiber was developed. Implementation of a novel type of transmission with a novel WGMR-based Kerr-OFC multi-wave light source are shown and presented for first time.
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22

A 2-D Numerical Simulation and Analysis of a Simple Band Model for the Priz Spatial Light Modulator. Storming Media, 1996.

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23

Kaufmann, Liane, Karin Kucian, and Michael von Aster. Development of the numerical brain. Edited by Roi Cohen Kadosh and Ann Dowker. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199642342.013.008.

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This article focuses on typical trajectories of numerical cognition from infancy all the way through to adulthood (please note that atypical pathways of numerical cognition will be dealt in‘Brain Correlates of Numerical Disabilities’). Despite the fact that developmental imaging studies are still scarce to date there is converging evidence that (1) neural signatures of non-verbal number processing may be observed already in infants; and (2) developmental changes in neural responsivity are characterized by increasing functional specialization of number-relevant frontoparietal brain regions. It has been suggested that age and competence-related modulations of brain activity manifest as an anterior-posterior shift. On the one hand, the recruitment of supporting frontal brain regions decreases, while on the other hand, reliance on number-relevant (fronto-)parietal neural networks increases. Overall, our understanding of the neurocognitive underpinnings of numerical development grew considerably during the last decade. Future research is expected to benefit substantially from the fast technological advances enabling researchers to gain more fine-grained insights into the spatial and temporal dynamics of the neural signatures underlying numerical development.
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