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astronomy

Michael J. Frank

Michael J. Frank is a astronomy 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 Michael J. Frank rather than just read about it. In short: Michael Joshua Frank is a neuroscientist who has played a leading role in computational cognitive neuroscience, in the understanding of the dopamine system across species, and in the emerging field of computational psychiatry. He is currently the Edgar L.

Key takeaways

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

Reference excerpt

Michael Joshua Frank is a neuroscientist who has played a leading role in computational cognitive neuroscience, in the understanding of the dopamine system across species, and in the emerging field of computational psychiatry. He is currently the Edgar L. Marston Professor of Cognitive and Psychological Sciences at Brown University and Director of the Nancy G Zimmerman Center for Computational Brain Science at Brown's Carney Institute for Brain Science. Other honors include: Kavli Fellow (2016), the Cognitive Neuroscience Society Young Investigator Award (2011), and the Janet T Spence Award for early career transformative contributions (Association for Psychological Science, 2010). Frank earned a Bachelor of Science in electrical engineering from Queen's University at Kingston in 1997. He received a Master of Science in electrical engineering and doctorate in neuroscience and psychology from the University of Colorado Boulder. In 2021, Frank received a Troland Research Award from the National Academy of Sciences for his "groundbreaking discoveries in our understanding of learning, valuation, and cognitive control."

References

External links Michael J. Frank publications indexed by Google Scholar online publications / faculty homepage Frank lab for neural computation and cognition

Worked examples

Example 1 — a first encounter with Michael J. Frank

Start with the simplest possible case. Write down what Michael J. Frank claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, 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 Michael J. Frank 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 Michael J. Frank 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 Michael J. Frank

In research
Michael J. Frank appears in astronomy 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 Michael J. Frank 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
Michael J. Frank is common in secondary-school and first-year university syllabi. It links to neighbouring topics Brown University faculty, Living people, Neuroscientist stubs, so understanding it makes those chapters shorter.
In everyday life
Look for Michael J. Frank 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 Michael J. Frank in 20 minutes

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

Frequently asked questions

What is Michael J. Frank in simple terms?

Michael Joshua Frank is a neuroscientist who has played a leading role in computational cognitive neuroscience, in the understanding of the dopamine system across species, and in the emerging field of computational psychiatry. He is currently the Edgar L.

Why does Michael J. Frank matter?

Because it connects several astronomy 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 Michael J. Frank?

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 Michael J. Frank.

Tags

  • Brown University faculty
  • Living people
  • Neuroscientist stubs
  • Queen's University at Kingston alumni
  • University of Colorado Boulder alumni

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