biology

Marlene Cohen

Marlene Cohen 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 Marlene Cohen rather than just read about it. In short: Marlene R. Cohen is an American neuroscientist and Professor of Neurobiology at the University of Chicago.

Key takeaways

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

Reference excerpt

Marlene R. Cohen is an American neuroscientist and Professor of Neurobiology at the University of Chicago. She studies how populations of neurons encode visual information and cognitive states such as attention, and how those neural representations guide behavior. She is recognized for pioneering use of multielectrode array recording to determine that the improved behavioral performance associated with redirecting spatial attention has a neural correlate in the brain that is reflected by reduced correlated activity between neurons. Cohen has also demonstrated that this same mechanism happens during learning. She has received several awards for her work, including the Troland Research Award from the National Academy of Sciences in 2018

Early life and education Cohen received bachelor’s degrees in Mathematics and Brain & Cognitive Sciences from the Massachusetts Institute of Technology. She earned her Ph.D. from Stanford University, where she investigated how interactions between neurons depend on behavioral and attentional states, working in collaboration with William Newsome’s lab. She conducted postdoctoral research in John Maunsell’s lab at Harvard Medical School, using attention as a tool to probe which aspects of population codes are behaviorally relevant.

Academic Positions Cohen joined the University of Pittsburgh faculty in 2011, where she continued her work on population coding in visual cortex. In 2022, she moved to the University of Chicago, where she holds appointments as Professor of Neurobiology and is affiliated with the Neuroscience Institute. She serves on the Committee on Computational Neuroscience and the Committee on Neurobiology at the University of Chicago.

Selected Awards Klingenstein Fellowship Award in the Neurosciences (2012). Eppendorf & Science Prize for Neurobiology, grand prize winner (2012). McKnight Scholar Award (2015). Troland Research Award from the National Academy of Sciences (2018). In 2025, she was named the inaugural recipient of the Robert H. Wurtz Award and Lecture in Systems Neuroscience.

References

External links Profile, University of Pittsburgh

Worked examples

Example 1 — a first encounter with Marlene Cohen

Start with the simplest possible case. Write down what Marlene Cohen 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 Marlene Cohen 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 Marlene Cohen 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 Marlene Cohen

In research: Marlene Cohen 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 Marlene Cohen 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: Marlene Cohen is common in secondary-school and first-year university syllabi. It links to neighbouring topics 21st-century American women, American neuroscientists, American women academics, so understanding it makes those chapters shorter.
In everyday life: Look for Marlene Cohen 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 Marlene Cohen in 20 minutes

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

Frequently asked questions

What is Marlene Cohen in simple terms?

Marlene R. Cohen is an American neuroscientist and Professor of Neurobiology at the University of Chicago.

Why does Marlene Cohen 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 Marlene Cohen?

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 Marlene Cohen.