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Wei Ji Ma

Wei Ji Ma 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 Wei Ji Ma rather than just read about it. In short: Wei Ji Ma (Dutch: Whee Ky Ma; Chinese: 马伟基; born December 1978) is a professor at New York University in the Department of Psychology and the Center for Neural Science. Ma focuses on the areas of perception, decision-making, and memory.

Wei Ji Ma — main illustration
Wei Ji Ma — illustration

Key takeaways

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

Reference excerpt

Wei Ji Ma (Dutch: Whee Ky Ma; Chinese: 马伟基; born December 1978) is a professor at New York University in the Department of Psychology and the Center for Neural Science. Ma focuses on the areas of perception, decision-making, and memory. He holds a PhD in theoretical physics from University of Groningen in the Netherlands. Ma is the 2021 recipient of the Jeffrey L. Elman Prize for Scientific Achievement and Community Building from the Cognitive Science Society.

Biography Ma was born in Delfzijl in December 1978 and grew up in Groningen, the Netherlands. He received a Bachelor of Science and Master of Science in physics in 1996 and a Bachelor of Science and Master of Science in mathematics in 1997, both from the University of Groningen. He continued at the University of Groningen, where he received a PhD in theoretical physics in 2000. He transitioned into computational neuroscience as a post-doctoral fellow under Christof Koch at the California Institute of Technology from 2002 to 2004, and subsequently as a post-doctoral fellow under Alexandre Pouget at the University of Rochester until 2008. He received his first faculty position in the Department of Neuroscience at Baylor College of Medicine in 2008 and remained there until 2013, when he took an associate professor position at New York University, where he has a dual appointment in the Center for Neural Science and the Department of Psychology.

Research Ma researches how the human brain represents and processes uncertainty. A large portion of his academic work is devoted to the construction of Bayesian inference models which describe how an observer arrives at beliefs about things in the world from noisy information. This modeling spans the range of describing the behavior of an observer, for example how an observer might infer two sensory inputs arise from a common source, to the activity of a population of neurons implementing the Bayesian operations. A complementary line of inquiry is studying encoding strategies in working memory, specifically highlighting the relationships between the role of noisy representations of objects in the brain and the number that can be recalled correctly. Broadly, his modeling focuses can be described as examining encoding models, decision rules, and probabilistic computations. In recent years, his work has focused on planning and thinking ahead in complex decision problems.

Non-academic activities Ma is a significant contributor in scientific outreach efforts. He is a founding member of the Scientist Action and Advocacy Network. In that capacity, he has been an expert witness, providing scientific testimony to the New York City Council Committees on Juvenile Justice & Courts and Legal Services on the issue of adolescent brain development. He is the co-founder and the current chairman of the board and CFO of the Rural China Education Foundation, whose goal is to improve the quality and efficacy of childhood education in order to improve the quality of life in rural communities in China. He was a neuroscience consultant for The Brain Piece, a dance interpretation of the brain and mind, and which has played in over 25 festivals and screenings globally. He was also a performer in The Brain Piece's trailer, Dance of the Neuron, which was selected for the 2017 In/Motion: Chicago's Dance Film Festival. He also created and co-organizes the Growing Up in Science talk series where he leads interviews and discussions on scientists’ personal maturation in academia. In addition to leading the series at NYU, he has brought it to scientific conferences and other universities.

Bibliography

Selected publications Ma, W. J. (2012). Organizing probabilistic models of perception. Trends in Cognitive Sciences, 16(10), 511-518. Ma, W.J., Beck, J.M., Latham, P.E., & Pouget, A. (2006). Bayesian inference with probabilistic population codes. Nature Neuroscience, 9(11), 1432–1438. Ma, W. J., Husain, M., & Bays, P. M. (2014). Changing concepts of working memory. Nature Neuroscience, 17(3), 347-356. Ma, W. J., & Jazayeri, M. (2014). Neural coding of uncertainty and probability. Annual Review of Neuroscience, 37, 205-220. Ma, W. J., Navalpakkam, V., Beck, J. M., Berg, R. van den, & Pouget, A. (2011). Behavior and neural basis of near-optimal visual search. Nature Neuroscience, 14(6), 783-790. Wilken, P. & Ma, W.J. (2004). A detection theory account of change detection. Journal of Vision, 4(12), 1120–35.

References

External links Personal website NYU Faculty Bio Lab website Wei Ji Ma publications indexed by Google Scholar Rural China Education Foundation Scientist Action and Advocacy Network The Brain Piece Growing Up in Science

Illustrations

Wei Ji Ma illustration

Worked examples

Example 1 — a first encounter with Wei Ji Ma

Start with the simplest possible case. Write down what Wei Ji Ma 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 Wei Ji Ma 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 Wei Ji Ma 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 Wei Ji Ma

In research
Wei Ji Ma 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 Wei Ji Ma 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
Wei Ji Ma is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1978 births, American neuroscientists, Baylor College of Medicine faculty, so understanding it makes those chapters shorter.
In everyday life
Look for Wei Ji Ma 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 Wei Ji Ma in 20 minutes

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

Frequently asked questions

What is Wei Ji Ma in simple terms?

Wei Ji Ma (Dutch: Whee Ky Ma; Chinese: 马伟基; born December 1978) is a professor at New York University in the Department of Psychology and the Center for Neural Science. Ma focuses on the areas of perception, decision-making, and memory.

Why does Wei Ji Ma 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 Wei Ji Ma?

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 Wei Ji Ma.

Tags

  • 1978 births
  • American neuroscientists
  • Baylor College of Medicine faculty
  • Computational neuroscientists
  • Dutch emigrants to the United States
  • Dutch neuroscientists
  • Dutch people of Chinese descent
  • Living people
  • New York University faculty
  • People from Delfzijl
  • University of Groningen alumni

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