The Memory Code Book Review
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The New York Times Book Review
Presents extended reviews of noteworthy books, short reviews, essays and articles on topics and trends in publishing, literature, culture and the arts. Includes lists of best sellers (hardcover and paperback).
How to revise and practice
In this revised edition of How to Learn: The 10 principles of effective revision & practice, examples and exercises from science, mathematics, history, foreign languages, and skill learning, are used to show exactly how to apply the 10 principles of effective practice and revision. Few students know how to revise effectively, which is why they waste so much time going over and over material, as they try to hammer it into their heads. But you don’t need to spend all that time, and you don’t need to endure such boredom. What you need to do is understand how to review your learning in the most effective way. Using examples and exercises from science, math, history, foreign languages, and skill learning, that is what this book aims to teach you. This workbook will tell you —what you should practice or revise —how you should revise —how often you should revise —how far apart you should schedule your sessions —different strategies you can use in your practice / revision —how skill learning differs from ‘fact’ learning and more. This workbook is for students who are serious about being successful in study, and teachers who want to know how best to help their students learn.
Editor’s pick e-book: highlighted research from Frontiers in Computational Neuroscience 2025
Frontiers in Computational Neuroscience is a multidisciplinary journal that focuses on the theoretical modeling of brain function and encourages multidisciplinary interactions between theoretical and experimental neuroscience. Our mission aligns closely with advancing global health and wellness goals, particularly the United Nations’ Sustainable Development Goal 3: good health and well-being by promoting a deeper understanding of brain function and fostering research and collaboration in the field. This contributes to the development of new knowledge and technologies that can potentially improve mental health, neurological disorders, and overall well being, aligning with the broader goal of ensuring healthy lives and promoting well-being for all at all ages. Here we are pleased to introduce this Theme book entitled ‘Research Highlights from Frontiers in Computational Neuroscience: 2024’ curated by our esteemed Chief Editors of Frontiers in Computational Neuroscience. This collection honors the remarkable contributions of authors who have furthered our understanding of computational neuroscience through innovative and impactful research. The work presented here spotlights the broad diversity of exciting research performed across the journal. We hope you enjoy our selection of key articles. We also thank all authors, editors, and reviewers of Frontiers in Computational Neuroscience for their contributions to our journal and look forward to another exciting year in 2025.