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Terrence J. Terrence Joseph Sejnowski

    Terrence Sejnowski ist ein Visionär auf dem Gebiet der computergestützten Neurobiologie. Seine bahnbrechende Forschung zu neuronalen Netzen und computergestützter Neurowissenschaft hat unser Verständnis des Gehirns maßgeblich geprägt. Er lehrt und leitet mehrere renommierte Institute, wo er interdisziplinäre Teams anführt. Seine Arbeit konzentriert sich auf die Aufdeckung der grundlegenden Prinzipien, die das Nervensystem steuern.

    The Deep Learning Revolution
    Liars, Lovers, and Heroes
    Uncommon sense teaching. practical insights in brain science to help students learn
    Neural Information Processing: New Directions in Statistical Signal Processing
    Learning how to learn : how to succeed in school without spending all your time studying
    Grundlagen zur Neuroinformatik und Neurobiologie
    • Top 10 Pick for Learning Ladders’ Best Books for Educators Summer 2021 A groundbreaking guide to improve teaching based on the latest research in neuroscience, from the bestselling author of A Mind for Numbers. Neuroscientists and cognitive scientists have made enormous strides in understanding the brain and how we learn, but little of that insight has filtered down to the way teachers teach. Uncommon Sense Teaching applies this research to the classroom for teachers, parents, and anyone interested in improving education. Topics include: • keeping students motivated and engaged, especially with online learning • helping students remember information long-term, so it isn't immediately forgotten after a test • how to teach inclusively in a diverse classroom where students have a wide range of abilities Drawing on research findings as well as the authors' combined decades of experience in the classroom, Uncommon Sense Teaching equips readers with the tools to enhance their teaching, whether they're seasoned professionals or parents trying to offer extra support for their children's education.

      Uncommon sense teaching. practical insights in brain science to help students learn2021
      4,2
    • The Deep Learning Revolution

      • 342 Seiten
      • 12 Lesestunden

      How deep learning-from Google Translate to driverless cars to personal cognitive assistants-is changing our lives and transforming every sector of the economy.

      The Deep Learning Revolution2018
      3,8
    • A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course "Learning How to Learn" have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: Why sometimes letting your mind wander is an important part of the learning process How to avoid "rut think" in order to think outside the box Why having a poor memory can be a good thing The value of metaphors in developing understanding A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun.

      Learning how to learn : how to succeed in school without spending all your time studying2018
      4,4
    • Grundlagen zur Neuroinformatik und Neurobiologie

      The Computational Brain in deutscher Sprache

      • 720 Seiten
      • 26 Lesestunden

      Das Buch über vergleichende Forschung zwischen menschlichem Gehirn und moderner Computertechnologie liegt nun erstmals in deutscher Sprache vor. Verfasst von einem renommierten Forscherteam aus den USA, bietet es umfassende Einblicke in den aktuellen Stand der Wissenschaft auf diesem Gebiet. Die Autoren verknüpfen Neuroinformatik und Neurobiologie mit ausgewählten Beispielen und fundierter Hintergrundinformation. Dadurch wird es sowohl Fachwissenschaftlern als auch interdisziplinär interessierten Informatikern und Biologen gerecht. Die Übersetzung stammt von Prof. Dr. Steffen Hölldobler und Dipl.-Biol. Claudia Hölldobler. Die Originalausgabe von 1992 gilt bereits als Klassiker. Das Werk wird als unverzichtbar empfohlen, da es die Faszination theoretischer Hirnforschung vermittelt, die in Deutschland immer mehr Wissenschaftler anzieht. Das Inhaltsverzeichnis umfasst Themen wie neurowissenschaftliche Grundlagen, Berechnungsgrundlagen, die Repräsentation der Welt, Plastizität sowie sensomotorische Integration. Es behandelt unter anderem die Mechanismen des Lernens, die Entwicklung von Nervensystemen und verschiedene neuronale Modelle. Zudem werden anatomische und physiologische Techniken zur Untersuchung des Gehirns erläutert.

      Grundlagen zur Neuroinformatik und Neurobiologie2012
    • Leading researchers in signal processing and neural computation present work aimed at promoting the interaction and cross-fertilization between the two fields. Signal processing and neural computation have separately and significantly influenced many disciplines, but the cross-fertilization of the two fields has begun only recently. Research now shows that each has much to teach the other, as we see highly sophisticated kinds of signal processing and elaborate hierachical levels of neural computation performed side by side in the brain. In New Directions in Statistical Signal Processing, leading researchers from both signal processing and neural computation present new work that aims to promote interaction between the two disciplines. The book's 14 chapters, almost evenly divided between signal processing and neural computation, begin with the brain and move on to communication, signal processing, and learning systems. They examine such topics as how computational models help us understand the brain's information processing, how an intelligent machine could solve the cocktail party problem with active audition in a noisy environment, graphical and network structure modeling approaches, uncertainty in network communications, the geometric approach to blind signal processing, game-theoretic learning algorithms, and observable operator models (OOMs) as an alternative to hidden Markov models (HMMs).

      Neural Information Processing: New Directions in Statistical Signal Processing2006
      3,0
    • Liars, Lovers, and Heroes

      What the New Brain Science Reveals About How We Become Who We Are

      • 336 Seiten
      • 12 Lesestunden

      This exciting, timely book merges cutting-edge neuroscience with historical and contemporary examples to provide fresh insights into human nature. Introducing the science of cultural biology, the authors, Drs. Quartz and Sejnowski, explore the intricate relationship between brain and environment that shapes our humanity. They reveal how our development occurs in stages, influenced by factors as ancient as climate change and as recent as the events of September 11. The authors tackle enduring questions about why we live together, love, kill, and sometimes sacrifice ourselves for others, uncovering surprising truths: many noble traits like altruism, love, and courage are rooted in ancient brain systems shared with insects, which also underpin some of our darker tendencies. They challenge conventional views on brain development, arguing that we are not merely products of instinct or genetics but creators of a symbolic reality known as culture, which we pass down as a survival blueprint. Through compelling historical and contemporary examples, the authors illustrate how engagement with the world stimulates brain chemistry, fostering cultural complexity. They also propose thought-provoking ideas on how cultural shifts may impact human development. Their scientific insights offer profound implications for understanding our past, present, and future.

      Liars, Lovers, and Heroes2002
      3,7
    • Annual Review of Neuroscience

      1995

      • 616 Seiten
      • 22 Lesestunden

      Forty-one articles are presented, comprising an important report of developments in the field and a review of progress. It is, therefore, a disappointment to note that this highly respected publisher has allowed its production department to perfect bind Neuroscience and to hide that cheaper technique by notch adhesive binding: the signatures are left intact with the gutter edge cut through at several places to allow adhesive to reach part of each page. The head & tail remains not notched to give the appearance of intact signatures as in Smythe sewn binding. This deception results in a weaker binding than if the whole gutter edge were cut (to allow the glue to adhere to the entire inner edge of each page). At least Annual Reviews continues to bind in book cloth. Annotation c. Book News, Inc., Portland, OR (booknews.com)

      Annual Review of Neuroscience1995