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Paul Glimcher

Paul Glimcher 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 Paul Glimcher rather than just read about it. In short: Paul W. Glimcher (born November 3, 1961) is an American neuroeconomist, neuroscientist, psychologist, and economist.

Key takeaways

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

Reference excerpt

Paul W. Glimcher (born November 3, 1961) is an American neuroeconomist, neuroscientist, psychologist, and economist. He is the Julius Silver Professor of Neural Science at New York University and has held leadership roles in NYU's neuroscience programs, including Director of the Neuroscience Institute at NYU Langone Health and Chair of the Department of Neuroscience and Physiology. His research has focused on neural mechanisms of decision-making and the development of neuroeconomics. Glimcher co-founded NYU's Institute for the Study of Decision Making (ISDM) and helped establish the Center for Neuroeconomics, which later became ISDM. He also helped launch the HUMAN Project, a longitudinal research initiative, and co-founded Datacubed Health, a software company supporting behavioral and clinical research.

Early life and education Paul W. Glimcher was born in Boston, Massachusetts, the son of Arne and Mildred Glimcher. His father, Arne Glimcher, founded New York City's Pace Gallery. He attended the Dalton School in Manhattan, earned an A.B. in neuroscience from Princeton University in 1983, and a Ph.D. in neuroscience from the University of Pennsylvania in 1989 under psychologist C. Randy Gallistel. His postdoctoral work on oculomotor physiology examined how circuits controlling saccades may also participate in movement planning.

Career and role in founding neuroeconomics Glimcher joined NYU's Center for Neural Science in 1994. In 2004 he founded NYU's Center for Neuroeconomics (later ISDM), and in 2010 was named to the Silver Endowed Chair in Neural Science. He has argued for integrating neuroscience, psychology, and economics to study choice behavior, co-authoring early neuroeconomics work such as a 1999 Nature paper with Michael Platt on decision variables in parietal cortex. His book Decisions, Uncertainty and the Brain (MIT Press, 2003) helped popularize the term "neuroeconomics" and received a PROSE Award. He co-edited the textbook Neuroeconomics: Decision Making and the Brain (Elsevier, 2008; 2nd ed. 2013) with Colin Camerer, Ernst Fehr, and Russell Poldrack; the first edition received a 2009 PROSE Award for Excellence in the Economic and Social Sciences. He later published Foundations of Neuroeconomic Analysis (Oxford, 2011).

The HUMAN Project In collaboration with the Kavli Foundation's Miyoung Chun, Glimcher helped develop the Kavli HUMAN Project, a large-scale longitudinal study inspired by big‑data approaches, modeled on efforts such as the Framingham Heart Study. The study's aims and potential were discussed across scientific and policy venues.

Datacubed Health LLC Glimcher co-founded Human Project Inc. (now Datacubed Health), commercializing software to support behavioral/clinical research and participant engagement; he has served as chief scientific officer.

Research Glimcher's research examines how the brain encodes value and guides decision-making, combining tools from systems neuroscience, psychology, and economics (including fMRI, single-unit electrophysiology, and experimental economics). Key contributions include: - Evidence for utility-like value coding in primate cortex (parietal decision variables). - Tests linking internal value representations to mixed-strategy equilibria in strategic choice (posterior parietal correlates). - Quantitative tests of dopamine reward prediction error signals in midbrain neurons. - Identification of subjective value signals in human medial prefrontal cortex during intertemporal choice. - Axiomatic approaches to measuring beliefs and rewards in neuroeconomic data. - Context-dependent "normalization" as a general neural mechanism for value coding and choice. His work has also discussed applications to valuation of public goods using fMRI measures of subjective value.

Honors and other work Glimcher is a fellow of the American Association for the Advancement of Science and has received foundation support from McKnight, Whitehall, Klingenstein, and McDonnell Foundations. He has served on advisory and study committees for the U.S. National Academies and other national bodies. His textbooks and edited volumes have received PROSE Awards.

Popular press Glimcher's work has been covered in outlets including Time, Newsweek, Los Angeles Times, BBC, Le Monde, Frankfurter Allgemeine Zeitung, Quanta, New York Magazine, Science, New Scientist, Fast Company, and Vox.

Books Glimcher, Paul W. (2003). Decisions, Uncertainty, and the Brain. MIT Press. ISBN 978-0-262-07244-1. Camerer, Colin; Fehr, Ernst; Poldrack, Russell, eds. (2008). Neuroeconomics: Decision Making and the Brain. ISBN 978-0-12-374176-9. Glimcher, Paul W. (2011). Foundations of Neuroeconomic Analysis. Oxford University Press. ISBN 978-0-19-974425-1. Camerer, Colin; Fehr, Ernst; Poldrack, Russell, eds. (2013). Neuroeconomics: Decision Making and the Brain. Academic Press. ISBN 978-0-12-416008-8.

References

Worked examples

Example 1 — a first encounter with Paul Glimcher

Start with the simplest possible case. Write down what Paul Glimcher 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 Paul Glimcher 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 Paul Glimcher 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 Paul Glimcher

In research
Paul Glimcher 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 Paul Glimcher 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
Paul Glimcher is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1961 births, 20th-century American psychologists, 21st-century American economists, so understanding it makes those chapters shorter.
In everyday life
Look for Paul Glimcher 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 Paul Glimcher in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Paul Glimcher 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 Paul Glimcher out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Paul Glimcher in simple terms?

Paul W. Glimcher (born November 3, 1961) is an American neuroeconomist, neuroscientist, psychologist, and economist.

Why does Paul Glimcher 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 Paul Glimcher?

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 Paul Glimcher.

Tags

  • 1961 births
  • 20th-century American psychologists
  • 21st-century American economists
  • 21st-century American psychologists
  • American neuroscientists
  • American textbook writers
  • Dalton School alumni
  • Economists from New York (state)
  • Fellows of the American Association for the Advancement of Science
  • Living people
  • Neuroeconomists
  • New York University faculty

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