29 Best Books on Neuroscience

“Reading in the Brain: The New Science of How We Read” Book Review: In this book, readers will discover the crucial role of reading, as well as the hidden logic behind spelling. It presents groundbreaking research on language processing methods that sheds new light on the brain’s adaptability. The book provides detailed explanations of cognitive and neurological concepts, and demonstrates how neuronal recycling accounts for the history and mechanisms of literacy in the brain. Additionally, the book delves into the intricacies of reading in expert adults.

“Explorations in Learning and the Brain: On the Potential of Cognitive Neuroscience for Educational Science” Book Review: This book is the result of research conducted by the Dutch Programme Council for Educational Research of the Netherlands Organization for Scientific Research. It reviews the potential links between cognitive neuroscience and educational science. The book provides insights into how findings from cognitive neuroscience can be used to extend educational principles, mechanisms, and theories, and how principles, mechanisms, or theories from neuroscience may have implications for educational research, leading to interdisciplinary research ventures.

“Schools for All Kinds of Minds: Boosting Student Success by Embracing Learning Variation” Book Review: This textbook explores different ways in which schools can develop proficiency in learning variation, which involves understanding how different kinds of minds learn and applying this knowledge to classroom instruction. The book explains how to identify the learning strengths of different students and use this information to plan for the success of all students, particularly those who find school challenging. Additionally, it provides guidelines for school leaders to integrate this knowledge into instructional practice and school-level policy through various professional development strategies

“Making Sense of People: The Science of Personality Differences” Book Review: This book offers readers tips on understanding the people they interact with regularly, based on substantial research. It provides tools to help readers understand people’s true nature and why they behave the way they do. The book also includes guidelines to help readers assess the tendencies, patterns, character, and sense of identity of those around them. By applying these tips, readers can gain a better understanding of people’s personalities.

“Neuroscience for Learning and Development: How to Apply Neuroscience and Psychology for Improved Learning and Training” Book Review: This book describes the science behind creative training delivery in a style that makes it easy for readers to understand. The book includes tools, methods, and ideas to help trainers improve their training, and it covers the latest scientific research on multiple facets of training and learning. The book provides tips for designing and delivering face-to-face, online, and virtual learning, creating conducive environments for learning, and distinguishing between neuromyths and neuroscience.

“Cognitive Psychology: Mind and Brain” Book Review: This book presents key concepts in neuroscience and cognitive psychology and includes up-to-date progress in these fields. It contains new discoveries about the brain and fundamental concepts related to perception, attention, knowledge in long-term memory, encoding and retrieval from long-term memory, working memory, executive processes, emotion and cognition, decision making, problem solving and reasoning, planning and motor cognition, and language. Anyone interested in the field of cognitive psychology would find this book useful.

“Educational Neuroscience: Initiatives and Emerging Issues (Educational Philosophy and Theory Special Issues Book 26)” Book Review: This textbook summarizes modern initiatives in educational neuroscience, exploring various systematic traits, issues, and directions related to the subject. It encourages readers to view educational neuroscience from interdisciplinary perspectives and provides contributions from leading researchers who study fundamental issues relating to educational neuroscience and mind, brain, and education in general. The book explains theoretical and empirical concepts for the subject matter and describes different research techniques available.

“Programming the Brain: Educational Neuroscience Perspective” Book Review: This book is an informative guide to the application of neuroscience in education. The book covers a range of topics, including brain-compatible learning, the neuroscience of memory and learning, and the neuroscience of creativity and innovation. With practical insights and applications, the book is a valuable resource for educators looking to enhance their teaching and learning methods.

“Educational Neuroscience” Book Review: This textbook offers numerous readings from educators, psychologists, and neuroscientists, surveying the latest findings in developmental cognitive neuroscience and their possible applications to education. It highlights a modern research area with significant importance to current educational practices and policy making. The book includes chapters written collaboratively by educationalists, psychologists, and neuroscientists, ensuring utmost clarity and relevance to a wide range of readers.

“Visual Cortex and Deep Networks” Book Review: The book covers a wide range of topics, from the basics of neural signaling to the more advanced concepts of machine learning and artificial intelligence. The authors, Peter Erdi and Anna Esposito, provide clear explanations and examples to help readers understand the complex concepts. The book also includes numerous exercises and projects that allow readers to apply what they have learned.

“Dynamical Systems in Neuroscience – The Geometry of Excitability and Bursting (Computational Neuroscience)” Book Review: This book is a valuable resource for neuroscience researchers, as the dynamical system theory is often neglected in the graduate curriculum of computational neuroscience. It provides an introduction to nonlinear dynamical systems theory and its relationship to electrophysiology and the computational properties of neurons. The book emphasizes that information processing in the brain depends not only on the electrophysiological properties of neurons but also on their dynamical properties. Starting with basic concepts of one and two-dimensional Hodgkin-Huxley-type models, it further describes bursting systems. This overview of neuroscience is suitable for mathematicians who are interested in electrophysiology, as well as non-mathematicians, as the book develops geometrical intuition alongside mathematical concepts, accompanied by figures. Each chapter also includes sample worked-out examples at the end for better understanding.

“Computational Neuroscience: A First Course (Springer Series in Bio-/Neuroinformatics)” Book Review: This book is a fundamental guide to computational neuroscience that lays down the basics of modelling the nervous system at the membrane, cellular, and network level. It comprehensively covers three domains: membrane biophysics, systems theory, and artificial neural networks. The required mathematical concepts are explained intuitively to make it approachable for people who do not have a background in higher mathematics. The book grew out of a lecture series designed for graduate students in neuroscience with backgrounds in biology, physiology, and medicine spanning over a decade. It serves as a reference guide for neuroscientists who use computational methods in their day-to-day tasks, as well as for theoretical scientists advancing towards the field of computational neuroscience.

“Theoretical Neuroscience – Computational and Mathematical Modeling of Neural Systems (Computational Neuroscience Series)” Book Review: This book provides the quantitative basis of the functioning of the nervous system and lays down its general operational principle. Basic mathematical and computational methods of theoretical neuroscience are described in the book, along with their application in vision, sensory-motor integration, development, learning, and memory. To make the subject material comprehensive, this volume is divided into three parts. Part I describes the relationship between sensory stimuli and neural responses, focusing on the representation of information originating from the spiking activity of neurons. Part II covers the modelling of neurons and neural circuits based on cellular and synaptic biophysics. Part III deals with the role of plasticity in development and learning. Additionally, the appendix covers all the mathematical methods used throughout the book in detail. Exercises for better understanding of the material are available on the book’s website.

“Introducing Epigenetics: A Graphic Guide” Book Review: This book introduces the field of epigenetics, which is the study of changes in heritable traits that are not caused by changes in DNA sequence. Through exploring genetics and cell biology, the book delves into the scientific principles behind epigenetics, explaining how it influences the inheritance of traits, disease development, aging, and evolution. The book provides an overview of the technology that has advanced the field of medicine and describes the epigenetic effects of the environment on identical twins, the turning on and off of genes during embryonic development, and the cloning of frogs from a single gut cell. By examining the structure of DNA, the book also explains how epigenetic

“The Computing Dendrite (Springer Series in Computational Neuroscience)” Book Review: This book delves into the intricate structures of neuronal dendritic trees, which enable cells to perform powerful computations and create high neural interconnectivity. With recent experimental advances, the book provides unprecedented details on these complex structures. The authors summarize cutting-edge investigations using experimental, computational, and mathematical techniques to understand the functions of dendrites in various neural systems. The book offers a broad perspective on the diversity of mechanisms dendrites employ to shape neural computations, starting with a discussion of dendritic morphological properties and their characterization through fractal principles and optimization principles. The second part of the book examines the contribution of dendrites to neural computations, focusing on the effects of dendritic morphology, synapse distribution, and membrane properties on neuronal stimulus output.

“Biological Learning and Control – How the Brain Builds Representations, Predicts Events, and Makes Decisions (Computational Neuroscience Series)” Book Review: The book explains how the dendrites, which are the branches of neurons, process information and contribute to brain function. The authors, Hermann Cuntz and Michiel W H Remme, use clear language and helpful diagrams to illustrate their points. The book also includes numerous examples and case studies to demonstrate the practical applications of dendrite computation.

“Natural Image Statistics: A Probabilistic Approach to Early Computational Vision. (Computational Imaging and Vision)” Book Review: This book explores natural images through different statistical models whose parameters are estimated from image samples. Its primary goal is to computationally model the biological visual system. This research finds applications in computer science and engineering, helping to develop better image processing and computer vision methods. Besides being an introductory textbook, this book is also a research monograph on modeling the statistical structure of natural images, providing a unified view of different models and approaches. This theoretical framework considers the properties of our visual system to reflect the statistical structure of natural images because of evolutionary adaptation processes.

“Fundamentals of Computational Neuroscience” Book Review: This book provides an introduction to this intriguing and intricate topic for individuals interested in the brain sciences. It covers the theoretical foundations of neuroscience, with a particular emphasis on the nature of information processing in the brain. The second edition of ‘Fundamentals of Computational Neuroscience’ introduces several simplified computational models of neurons that are ideal for exploring how information is processed in large brain-like networks. The book also introduces fundamental network architectures related to this mechanism, as well as models that perform higher-order cognitive functions. Simple MATLAB programs have been included to aid in understanding the computational models presented in the book.

“Computational Neuroscience: Cortical Dynamics” Book Review: This book is a comprehensive reference text on models of cortical dynamics from the perspectives of Neuroscience and Physics. It is a compilation of papers presented on cortical dynamics at the 8th International Summer School held in Sicily, Italy. This book aims to provide a high-level coverage of this field by consolidating some of the most recent experimental and theoretical findings. It is divided into two sections. The first section provides the fundamental concepts of cortical dynamics, such as the dynamics of storage and recall in memory networks, hierarchical organization of the central nervous system, etc. The second section explains advanced mathematical models of cortical dynamics, including mean-field methods, chaotic neuron dynamics, and others.

“The Design of Experiments in Neuroscience” by Mary E Harrington Book Review: This book is an insightful guide for designing and analyzing neuroscience experiments. The book covers essential topics such as hypothesis testing, statistical inference, and experimental design, providing practical advice for experimental planning and execution. The book’s chapters explore topics such as single-subject designs, factorial designs, and mixed designs, among others. Each chapter includes clear explanations, relevant examples, and useful tips for conducting successful experiments. The book is an excellent resource for neuroscience students, researchers, and anyone interested in designing experiments for studying the brain and behavior.

“Ethical Issues in Behavioural Neuroscience” Book Review: This book is a comprehensive review of ethical challenges in the field of behavioral neuroscience. The book features contributions from experts in the field, covering a range of topics including animal research ethics, cognitive enhancement, and brain-machine interfaces. The chapters also explore issues related to informed consent, privacy, and social responsibility. The book provides a thought-provoking discussion of the ethical considerations surrounding behavioral neuroscience research and highlights the importance of responsible and ethical conduct in scientific research. It is a valuable resource for researchers, students, and anyone interested in the ethical implications of behavioral neuroscience research.

“Neurological Control Systems” Book Review: This book offers a comprehensive introduction to the control systems of the nervous system. It explores the functional organization of living systems and addresses the central problems that arise from the interaction of multiple closed loops. The book focuses on formal neurons or those that closely resemble real neurons. It discusses how these neurons can break down or become schizogenetically oscillated. Designed for students and teachers in the field of neuroscience, this book provides an in-depth understanding of neurological control systems.

“Nanotechnology and Neuroscience: Nano-electronic, Photonic and Mechanical Neuronal Interfacing” Book Review: This book provides an in-depth analysis of micro and nanofabrication technologies that can be used to develop advanced tools for recording and stimulating electrical activity in neuronal networks. It outlines various ways in which the “nano world” can benefit neuroscientists by improving cell adhesion, enabling tight-sealed extracellular recordings or intracellular approaches, and developing micro and nanostructured tools for biological applications. The book includes discussions on different fabrication strategies to help researchers develop these technologies.

“Peripheral Neuropathy” Book Review: This book offers a detailed overview of peripheral neuropathy, covering both the neurobiology and diseases of the peripheral nervous system. It discusses topics such as clinical neurophysiology, molecular genetics, clinical diagnosis, and management. The book emphasizes new information on cell biology, genetics, proteomics, clinical manifestations, and treatments. It provides authoritative and thorough information on the neurobiology and diseases of the peripheral nervous system.

“Multidisciplinary Tools for Investigating Synaptic Plasticity (Neuromethods)” Book Review: This book is written as a guide for researchers looking to address novel questions in synaptic plasticity using specific techniques at the lab bench. The author provides detailed information on techniques and strategies used to probe the cellular and molecular mechanisms of synaptic plasticity in both vertebrate and invertebrate nervous systems. The book is divided into three sections covering topics such as behavior, neural development, synaptogenesis, cellular electrophysiological and optical methods, and biochemical and genetic strategies for studying synaptic plasticity.

“Psychoneuroendocrinology: Brain, Behavior, and Hormonal Interactions” Book Review: The book aims to provide a brief introduction to the field of psychoneuroendocrinology research for both practitioners and scientists. It is divided into chapters that discuss different eras of inquiry, providing a historical overview of early clinical formulations about each disease. The book explores the subjective assessment methods used in early studies and reveals which clinical impressions were able to withstand empirical rigor and which were not.

“Pioneers in Neuroendocrinology (Perspectives in Neuroendocrine Research)” Book Review: This is a book about the study of the interactions between the nervous and endocrine systems in animals. It is a great resource for students in engineering, physics, neuroscience, and faculty who want to learn more about quantitative neuroscience. The book covers a variety of topics, including the structure of the neuron, electrical propagation in axons and dendrites, the dynamics of the synapse, and more advanced topics in neuroengineering. The text is easy to understand, and each chapter includes homework and simulation problems to help students learn.

“Quantitative Neurophysiology (Synthesis Lectures on Biomedical Engineering)” Book Review: This book is designed as a supplementary text for junior or senior level courses in neuroengineering and graduate students in engineering, physics, or neuroscience. It is also useful for faculty who want to become familiar with the basics of quantitative neuroscience. The book includes a chapter on the structure of the neuron and anatomy of the brain, as well as chapters on active and passive membranes, electrical propagation in axons and dendrites, and the dynamics of the synapse. There is also a chapter on modeling networks of neurons and artificial neural networks. The text is easy to read, and each chapter includes homework and simulation problems.

“Neuroendocrinology of Reproduction: Physiology and Behavior” Book Review: This book is a comprehensive guide to the neural and endocrine mechanisms that regulate reproductive behavior in animals. The book covers a range of topics, including the hormonal regulation of puberty and fertility, the neural control of sexual behavior, and the effects of stress on reproductive function. Each chapter provides a detailed overview of the current state of knowledge in the field, with a particular emphasis on the neural and endocrine mechanisms that underlie reproductive behavior.