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Principles of Neural Science

Principles of Neural Science is a biology topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Principles of Neural Science rather than just read about it. In short: Principles of Neural Science is a neuroscience textbook edited by Columbia University professors Eric R. Kandel, James H.

Principles of Neural Science — main illustration
Principles of Neural Science — illustration

Key takeaways

  • Principles of Neural Science belongs to biology; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Principles of Neural Science to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Principles of Neural Science from memory before moving on to harder problems.

Reference excerpt

Principles of Neural Science is a neuroscience textbook edited by Columbia University professors Eric R. Kandel, James H. Schwartz, and Thomas M. Jessell. First published in 1981 by McGraw-Hill, the original edition was 468 pages, and has now grown to 1,646 pages on the sixth edition. The second edition was published in 1985, third in 1991, fourth in 2000. The fifth was published on October 26, 2012 and included Steven A. Siegelbaum and A. J. Hudspeth as editors. The sixth and latest edition was published on March 8, 2021.

Authors

Editors Kandel was one of the recipients of the 2000 Nobel Prize in Physiology or Medicine. He is currently a professor of biochemistry, molecular biophysics, physiology, cellular biophysics, and psychiatry at Columbia University. He is a senior investigator at the Howard Hughes Medical Institute and a recipient of the National Medal of Science. Schwartz was a professor of physiology, cellular biophysics, neurology, and psychiatry at Columbia University. Jessell became an editor of the book starting from the third edition. He was a professor of biochemistry and molecular biophysics at Columbia University, and an investigator at the Howard Hughes Medical Institute. Hudspeth is a professor of sensory neuroscience at Rockefeller University. He is also an investigator at the Howard Hughes Medical Institute. Siegelbaum is Chair of the Department of Neuroscience at Columbia University and is also an investigator at the Howard Hughes Medical Institute.

Contributors Including the editors—all of whom also contributed to individual chapters in the book—there are a total of 45 authors of this text. Included among them are several notable researchers and physicians. Several authors are also highly decorated scientists, including Nobel laureate Linda B. Buck and renowned neurophysiologist Roger M. Enoka.

Content Principles of Neural Science is often assigned as a textbook for many undergraduate and graduate/medical neuroscience and neurobiology courses. The book attempts to introduce every aspect of the most modern understanding of the brain. The sixth edition is divided into sixty-four chapters, organized into nine parts:

Part I: Overall Perspective Part II: Cell and Molecular Biology of Cells of the Nervous System Part III: Synaptic Transmission Part IV: Perception Part V: Movement Part VI: The Biology of Emotion, Motivation, and Homeostasis Part VII: Development and the Emergence of Behavior Part VIII: Learning, Memory, Language and Cognition Part IX: Diseases of the Nervous System

References

Sources Kandel ER, Schwartz JH, Jessell TM 1991. Principles of Neural Science, 3rd ed. Appleton & Lange. ISBN 0-8385-8068-8 Kandel ER, Schwartz JH, Jessell TM 2000. Principles of Neural Science, 4th ed. McGraw-Hill, New York. ISBN 0-8385-7701-6 Kandel ER, Schwartz JH, Jessell TM 2012, Siegelbaum SA, Hudspeth AJ. Principles of Neural Science, 5th ed. McGraw-Hill, New York. ISBN 0-07-139011-1 Kandel ER, Koester JD, Mack SH 2021, Siegelbaum SA. Principles of Neural Science, 6th ed. McGraw-Hill, New York. ISBN 978-1-25-964224-1

Worked examples

Example 1 — a first encounter with Principles of Neural Science

Start with the simplest possible case. Write down what Principles of Neural Science claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In biology, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Principles of Neural Science before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Principles of Neural Science ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Principles of Neural Science

In research
Principles of Neural Science appears in biology research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Principles of Neural Science in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Principles of Neural Science is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1981 non-fiction books, Biology textbooks, Elsevier books, so understanding it makes those chapters shorter.
In everyday life
Look for Principles of Neural Science outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Principles of Neural Science in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Principles of Neural Science means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Principles of Neural Science out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Principles of Neural Science in simple terms?

Principles of Neural Science is a neuroscience textbook edited by Columbia University professors Eric R. Kandel, James H.

Why does Principles of Neural Science matter?

Because it connects several biology ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Principles of Neural Science?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Principles of Neural Science.

Tags

  • 1981 non-fiction books
  • Biology textbooks
  • Elsevier books
  • Neuroscience books

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