Download or read book How Attention Works written by Stefan Van Der Stigchel and published by MIT Press. This book was released on 2019-03-12 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: How we filter out what is irrelevant so we can focus on what we need to know. We are surrounded by a world rich with visual information, but we pay attention to very little of it, filtering out what is irrelevant so we can focus on what we think we need to know. Advertisers, web designers, and other “attention architects” try hard to get our attention, promoting products with videos on huge outdoor screens, adding flashing banners to websites, and developing computer programs with blinking icons that tempt us to click. Often they succeed in distracting us from what we are supposed to be doing. In How Attention Works, Stefan Van der Stigchel explains the process of attention and what the implications are for our everyday lives. The visual attention system is efficient, Van der Stigchel writes, because it doesn't waste energy processing every scrap of visual data it receives; it gathers only relevant information. We focus on one snippet of information and assume that everything else is stable and consistent with past experience; that's why most people miss even the most glaring continuity errors in films. If an object doesn't meet our expectations, chances are we won't see it. Van der Stigchel makes his case with examples from real life, explaining, among other things, the limitations of color perception (and why fire trucks shouldn't be red); the importance of location (security guards and radiologists, for example, have to know where to look); the attention-getting properties of faces and spiders; what we can learn from someone else's eye movements; why we see what we expect to see (magicians take advantage of this); and visual neglect and unattended information.

Download or read book The Attention Economy and How Media Works written by Karen Nelson-Field and published by Springer Nature. This book was released on 2020-01-04 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a considered voice on the advertising chaos that colours our rapidly changing media environment in a world of fake news, fast facts and seriously depleted attention stamina. Rather than simply herald disruption, Karen Nelson-Field starts an intelligent conversation on what it will take for businesses to win in an attention economy, the advertising myths we need to leave behind and the scientific evidence we can use to navigate a complex advertising and media ecosystem. This book makes sense of viewability standards, coverage and clutter; it talks about the real quality behind a qCPM and takes a deep dive into the relationship between attention and sales. It explains the stark reality of human attention processing in advertising. Readers will learn how to maximise a viewer’s divided attention by leveraging specific media attributes and using attention-grabbing creative triggers. Nelson-Field asks you to pay attention to a disrupted advertising future without panic, but rather with a keen eye on the things that brand owners can learn to control.

Download or read book Effortless Attention written by Brian Bruya and published by MIT Press. This book was released on 2010-04-09 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: The phenomena of effortless attention and action and the challenges they pose to current cognitive models of attention and action.

Download or read book The Psychology of Attention written by Harold Pashler and published by MIT Press. This book was released on 1999-07-26 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past two decades, attention has been one of the most investigated areas of research in perception and cognition. However, the literature on the field contains a bewildering array of findings, and empirical progress has not been matched by consensus on major theoretical issues. The Psychology of Attention presents a systematic review of the main lines of research on attention; the topics range from perception of threshold stimuli to memory storage and decision making. The book develops empirical generalizations about the major issues and suggests possible underlying theoretical principles. Pashler argues that widely assumed notions of processing resources and automaticity are of limited value in understanding human information processing. He proposes a central bottleneck for decision making and memory retrieval, and describes evidence that distinguishes this limitation from perceptual limitations and limited-capacity short-term memory.

Download or read book The Handbook of Attention written by Jonathan Fawcett and published by MIT Press. This book was released on 2015-11-27 with total page 695 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authoritative overview of current research on human attention, emphasizing the relation between cognitive phenomena observed in the laboratory and in the real world. Laboratory research on human attention has often been conducted under conditions that bear little resemblance to the complexity of our everyday lives. Although this research has yielded interesting discoveries, few scholars have truly connected these findings to natural experiences. This book bridges the gap between “laboratory and life” by bringing together cutting-edge research using traditional methodologies with research that focuses on attention in everyday contexts. It offers definitive reviews by both established and rising research stars on foundational topics such as visual attention and cognitive control, underrepresented domains such as auditory and temporal attention, and emerging areas of investigation such as mind wandering and embodied attention. The contributors discuss a range of approaches and methodologies, including psychophysics, mental chronometry, stationary and mobile eye-tracking, and electrophysiological and functional brain imaging. Chapters on everyday attention consider such diverse activities as driving, shopping, reading, multitasking, and playing videogames. All chapters present their topics in the same overall format: historical context, current research, the possible integration of laboratory and real-world approaches, future directions, and key and outstanding issues. Contributors Richard A. Abrams, Lewis Baker, Daphne Bavelier, Virginia Best, Adam B. Blake, Paul W. Burgess, Alan D. Castel, Karen Collins, Mike J. Dixon, Sidney K. D'Mello, Julia Föcker, Charles L. Folk, Tom Foulsham, Jonathan A. Fugelsang, Bradley S. Gibson, Matthias S. Gobel, Davood G. Gozli, Arthur C. Graesser, Peter A. Hancock, Kevin A. Harrigan, Simone G. Heideman, Cristy Ho, Roxane J. Itier, Gustav Kuhn, Michael F. Land, Mallorie Leinenger, Daniel Levin, Steven J. Luck, Gerald Matthews, Daniel Memmert, Stephen Monsell, Meeneley Nazarian, Anna C. Nobre, Andrew M. Olney, Kerri Pickel, Jay Pratt, Keith Rayner, Daniel C. Richardson, Evan F. Risko, Barbara Shinn-Cunningham, Vivian Siu, Jonathan Smallwood, Charles Spence, David Strayer, Pedro Sztybel, Benjamin W. Tatler, Eric T. Taylor, Jeff Templeton, Robert Teszka, Michel Wedel, Blaire J. Weidler, Lisa Wojtowicz, Jeremy M. Wolfe, Geoffrey F. Woodman

Download or read book Attention written by Addie Johnson and published by SAGE. This book was released on 2004 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Attention: Theory and Practice provides a balance between a readable overview of attention and an emphasis on how theories and paradigms for the study of attention have developed. The book highlights the important issues and major findings while giving sufficient details of experimental studies, models, and theories so that results and conclusions are easy to follow and evaluate. Rather than brushing over tricky technical details, the authors explain them clearly, giving readers the benefit of understanding the motivation for and techniques of the experiments in order to allow readers to think through results, models, and theories for themselves. Attention is an accessible text for advanced undergraduate and graduate students in psychology, as well as an important resource for researchers and practitioners interested in gaining an overview of the field of attention.

Download or read book Hyperfocus written by Chris Bailey and published by Vintage Canada. This book was released on 2019-08-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Canada's productivity expert returns with a totally fresh angle on how to do more with less. Throughout his experiments and research, Chris Bailey came across many little-known insights into how we focus (a key element of productivity), including the surprising idea that focus isn't so much a state of heightened awareness (as we'd assume), but a balance between two frames of mind. The most recent neuroscientific research on attention reveals that our brain has two powerful modes that can be unlocked when we use our attention well: a focused mode (hyperfocus), which is the foundation for being highly productive, and a creative mode (scatterfocus), which enables us to connect ideas in novel ways. Hyperfocus helps readers unlock both, so they can concentrate more deeply, think more clearly, and work and live more deliberately. Diving deep into the science and theories about how and why we bring our attention to bear on life's big goals and everyday tasks, Chris Bailey takes his unique approach to productivity to the next level in Hyperfocus, while retaining the approachable voice and perspective that made him a fast favourite.

Download or read book Attention Management written by Maura Thomas and published by Sourcebooks, Inc.. This book was released on 2019-09-09 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you tired of feeling overwhelmed and scattered? Do you wish you could maximize your productivity and achieve success effortlessly? In Attention Management, productivity expert Maura Thomas unveils the ultimate guide to increasing your focus and harnessing your attention for peak performance. In this game-changing book, Thomas shares her practical mindfulness techniques to help you regain control over your attention and optimize your productivity. With a clear and systematic approach, she empowers you to effectively prioritize tasks, eliminate distractions, and enhance your ability to concentrate on what truly matters. Whether you're a student, professional, or entrepreneur, this book will equip you with the tools and knowledge to: Conquer information overload and regain mental clarity Cultivate laser-like focus amidst digital distractions Overcome procrastination and stay motivated Reduce stress and increase overall well-being Cultivate a healthy work-life balance Boost creativity and unlock your full potential A must-read business book for anyone seeking to transform their productivity and achieve lasting success!

Download or read book Machine Learning with PyTorch and Scikit Learn written by Sebastian Raschka and published by Packt Publishing Ltd. This book was released on 2022-02-25 with total page 775 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Learn applied machine learning with a solid foundation in theory Clear, intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices Book DescriptionMachine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.What you will learn Explore frameworks, models, and techniques for machines to learn from data Use scikit-learn for machine learning and PyTorch for deep learning Train machine learning classifiers on images, text, and more Build and train neural networks, transformers, and boosting algorithms Discover best practices for evaluating and tuning models Predict continuous target outcomes using regression analysis Dig deeper into textual and social media data using sentiment analysis Who this book is for If you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch. Before you get started with this book, you’ll need a good understanding of calculus, as well as linear algebra.

Download or read book Attention This Book Will Make You Money written by Jim F. Kukral and published by John Wiley & Sons. This book was released on 2010-07-16 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drive Web traffic and take your business into the future In todays social Web marketplace, attention equals revenue. When you direct more attention online to your brand or business, you drive more long-term revenue. Regardless of who you are or how small your business is, you can have a huge impact using free Internet tools...provided you understand and correctly apply the latest techniques. Attention! gives you an educational and motivational guide to using social media to market your brand or business online. In three parts, you'll discover everything you need to know to get off the ground and thrive in the social mediasphere, including The tools, techniques and tricks to get attention online and turn that attention into profit The theory behind the importance of making your mark on the Internet How other businesses and individuals made money from online marketing Whether you're just starting your business, just moving it online, or already established and looking to take your business to the next level, Attention! is the key to success.

Download or read book Advanced Deep Learning with Python written by Ivan Vasilev and published by Packt Publishing Ltd. This book was released on 2019-12-12 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain expertise in advanced deep learning domains such as neural networks, meta-learning, graph neural networks, and memory augmented neural networks using the Python ecosystem Key FeaturesGet to grips with building faster and more robust deep learning architecturesInvestigate and train convolutional neural network (CNN) models with GPU-accelerated libraries such as TensorFlow and PyTorchApply deep neural networks (DNNs) to computer vision problems, NLP, and GANsBook Description In order to build robust deep learning systems, you’ll need to understand everything from how neural networks work to training CNN models. In this book, you’ll discover newly developed deep learning models, methodologies used in the domain, and their implementation based on areas of application. You’ll start by understanding the building blocks and the math behind neural networks, and then move on to CNNs and their advanced applications in computer vision. You'll also learn to apply the most popular CNN architectures in object detection and image segmentation. Further on, you’ll focus on variational autoencoders and GANs. You’ll then use neural networks to extract sophisticated vector representations of words, before going on to cover various types of recurrent networks, such as LSTM and GRU. You’ll even explore the attention mechanism to process sequential data without the help of recurrent neural networks (RNNs). Later, you’ll use graph neural networks for processing structured data, along with covering meta-learning, which allows you to train neural networks with fewer training samples. Finally, you’ll understand how to apply deep learning to autonomous vehicles. By the end of this book, you’ll have mastered key deep learning concepts and the different applications of deep learning models in the real world. What you will learnCover advanced and state-of-the-art neural network architecturesUnderstand the theory and math behind neural networksTrain DNNs and apply them to modern deep learning problemsUse CNNs for object detection and image segmentationImplement generative adversarial networks (GANs) and variational autoencoders to generate new imagesSolve natural language processing (NLP) tasks, such as machine translation, using sequence-to-sequence modelsUnderstand DL techniques, such as meta-learning and graph neural networksWho this book is for This book is for data scientists, deep learning engineers and researchers, and AI developers who want to further their knowledge of deep learning and build innovative and unique deep learning projects. Anyone looking to get to grips with advanced use cases and methodologies adopted in the deep learning domain using real-world examples will also find this book useful. Basic understanding of deep learning concepts and working knowledge of the Python programming language is assumed.

Download or read book The Working Mind written by Juan Pascual-Leone and published by MIT Press. This book was released on 2021-04-13 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: A general organismic-causal theory that explicates working memory and executive function developmentally, clarifying the nature of human intelligence. In The Working Mind, Juan Pascual-Leone and Janice M. Johnson propose a general organismic-causal theory that explicates working memory and executive function developmentally and by doing so clarifies the nature of human intelligence. Pascual-Leone and Johnson explain "from within" (that is, from a subject's own processing perspective) cognitive developmental stages of growth, describing key causal factors that can account for the emergence of the working mind as a functional totality. Among these factors is a maturationally growing mental attention.

Download or read book Deep Learning Essentials written by Anurag Bhardwaj and published by Packt Publishing Ltd. This book was released on 2018-01-30 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get to grips with the essentials of deep learning by leveraging the power of Python Key Features Your one-stop solution to get started with the essentials of deep learning and neural network modeling Train different kinds of neural networks to tackle various problems in Natural Language Processing, computer vision, speech recognition, and more Covers popular Python libraries such as Tensorflow, Keras, and more, along with tips on training, deploying and optimizing your deep learning models in the best possible manner Book Description Deep Learning a trending topic in the field of Artificial Intelligence today and can be considered to be an advanced form of machine learning, which is quite tricky to master. This book will help you take your first steps in training efficient deep learning models and applying them in various practical scenarios. You will model, train, and deploy different kinds of neural networks such as Convolutional Neural Network, Recurrent Neural Network, and will see some of their applications in real-world domains including computer vision, natural language processing, speech recognition, and so on. You will build practical projects such as chatbots, implement reinforcement learning to build smart games, and develop expert systems for image captioning and processing. Popular Python library such as TensorFlow is used in this book to build the models. This book also covers solutions for different problems you might come across while training models, such as noisy datasets, small datasets, and more. This book does not assume any prior knowledge of deep learning. By the end of this book, you will have a firm understanding of the basics of deep learning and neural network modeling, along with their practical applications. What you will learn Get to grips with the core concepts of deep learning and neural networks Set up deep learning library such as TensorFlow Fine-tune your deep learning models for NLP and Computer Vision applications Unify different information sources, such as images, text, and speech through deep learning Optimize and fine-tune your deep learning models for better performance Train a deep reinforcement learning model that plays a game better than humans Learn how to make your models get the best out of your GPU or CPU Who this book is for Aspiring data scientists and machine learning experts who have limited or no exposure to deep learning will find this book to be very useful. If you are looking for a resource that gets you up and running with the fundamentals of deep learning and neural networks, this book is for you. As the models in the book are trained using the popular Python-based libraries such as Tensorflow and Keras, it would be useful to have sound programming knowledge of Python.

Download or read book Deep Learning for Natural Language Processing written by Jason Brownlee and published by Machine Learning Mastery. This book was released on 2017-11-21 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning methods are achieving state-of-the-art results on challenging machine learning problems such as describing photos and translating text from one language to another. In this new laser-focused Ebook, finally cut through the math, research papers and patchwork descriptions about natural language processing. Using clear explanations, standard Python libraries and step-by-step tutorial lessons you will discover what natural language processing is, the promise of deep learning in the field, how to clean and prepare text data for modeling, and how to develop deep learning models for your own natural language processing projects.

Download or read book Peak Mind written by Amishi P. Jha and published by HarperCollins. This book was released on 2021-10-19 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: ***NATIONAL BESTSELLER*** STOP FOR A MOMENT. Are you here right now? Is your focus on this page? Or is it roaming elsewhere, to the past or future, to a worry, to your to-do list, or to your phone? Whether you’re simply browsing, talking to friends, or trying to stay focused in an important meeting, you can’t seem to manage to hang on to your attention. No matter how hard you try, you’re somewhere else. The consequence is that you miss out on 50 percent of your life—including the most important moments. The good news: There’s nothing wrong with you—your brain isn’t broken. The human brain was built to be distractible. The even better news: You can train your brain to pay attention more effectively. Stay with me a little longer and soon you will be able to: Focus without all the struggle. Take back your attention from the pull of distraction. And function at your peak, for all that truly matters in your life.

Download or read book What I Talk About When I Talk About Running written by Haruki Murakami and published by Vintage Canada. This book was released on 2009-08-11 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the best-selling author of The Wind-Up Bird Chronicle and After Dark, a rich and revelatory memoir about writing and running, and the integral impact both have made on his life. In 1982, having sold his jazz bar to devote himself to writing, Haruki Murakami began running to keep fit. A year later, he’d completed a solo course from Athens to Marathon, and now, after dozens of such races, not to mention triathlons and a slew of critically acclaimed books, he reflects upon the influence the sport has had on his life and—even more important—on his writing. Equal parts training log, travelogue, and reminiscence, this revealing memoir covers his four-month preparation for the 2005 New York City Marathon and includes settings ranging from Tokyo’s Jingu Gaien gardens, where he once shared the course with an Olympian, to the Charles River in Boston among young women who outpace him. Through this marvellous lens of sport emerges a cornucopia of memories and insights: the eureka moment when he decided to become a writer, his greatest triumphs and disappointments, his passion for vintage LPs and the experience, after the age of fifty, of seeing his race times improve and then fall back. By turns funny and sobering, playful and philosophical, What I Talk About When I Talk About Running is both for fans of this masterful yet guardedly private writer and for the exploding population of athletes who find similar satisfaction in distance running.

Download or read book Structuring Mind written by Sebastian Watzl and published by Oxford University Press. This book was released on 2017-03-09 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is attention? How does attention shape consciousness? In an approach that engages with foundational topics in the philosophy of mind, the theory of action, psychology, and the neurosciences this book provides a unified and comprehensive answer to both questions. Sebastian Watzl shows that attention is a central structural feature of the mind. The first half of the book provides an account of the nature of attention. Attention is prioritizing, it consists in regulating priority structures. Attention is not another element of the mind, but constituted by structures that organize, integrate, and coordinate the parts of our mind. Attention thus integrates the perceptual and intellectual, the cognitive and motivational, and the epistemic and practical. The second half of the book concerns the relationship between attention and consciousness. Watzl argues that attentional structure shapes consciousness into what is central and what is peripheral. The center-periphery structure of consciousness cannot be reduced to the structure of how the world appears to the subject. What it is like for us thus goes beyond the way the world appears to us. On this basis, a new view of consciousness is offered. In each conscious experience we actively take a stance on the world we appear to encounter. It is in this sense that our conscious experience is our subjective perspective.