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J. A. Scott Kelso

J. A. Scott Kelso 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 J. A. Scott Kelso rather than just read about it. In short: J. A.

Key takeaways

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

Reference excerpt

J. A. Scott Kelso (born 1947 in Derry, Northern Ireland) is an American neuroscientist, and Professor of Complex Systems and Brain Sciences, Professor of Psychology, Biological Sciences and Biomedical Science at Florida Atlantic University (FAU) in Boca Raton, Florida and The University of Ulster (Magee Campus) in Derry, N. Ireland. Kelso has worked on coordination dynamics, the science of coordination and on fundamental mechanisms underlying voluntary movements and their relation to the large-scale coordination dynamics of the human brain. His experimental research in the late 1970s and early 1980s led to the HKB model (Haken–Kelso–Bunz), a mathematical formulation that quantitatively describes and predicts how elementary forms of coordinated behavior arise and change adaptively as a result of nonlinear interactions among components.

Biography Kelso was born in the city of Derry, Northern Ireland. He attended Foyle College (1958–1965), receiving his undergraduate education at Stranmillis University College Belfast from 1965 to 1969, and the University of Calgary, Alberta from 1971 to 1972. He obtained his PhD from the University of Wisconsin, Madison in 1975. From 1976 to 1978 Kelso was assistant professor and director of The Motor Behavior Laboratory at the University of Iowa. Between 1978 and 1985 he was senior research scientist at Yale University's Haskins Laboratories in New Haven, Connecticut and Professor of Psychology and Biobehavioral Sciences (Unit of Behavioral Genetics) at the University of Connecticut. In 1985 he founded the Center for Complex Systems and Brain Sciences at Florida Atlantic University, an interdisciplinary research center that includes neuroscientists, applied mathematicians, physicists, psychologists and computer scientists housed in the same physical facility, working together on common problems of complex, biological systems ranging from molecules to minds. Kelso leads a team of researchers in the Center's Human Brain and Behavior Laboratory. Since 1985, Kelso has held the Glenwood and Martha Creech Eminent Scholar Chair in Science at Florida Atlantic University, where he is also Professor of Psychology, Biological Sciences, and Biomedical Sciences. Kelso was Program Director of the NIMH’s National Training Program in Complex Systems and Brain Sciences at Florida Atlantic University between 1987 and 2005. Working with the FAU Administration and the Chancellor's office of the State University System, Kelso helped establish the Center's PhD Degree in Complex Systems and Brain Sciences. In 1995, Kelso co-directed the Summer School in Complex Systems at the Santa Fe Institute. He served as President of the South Florida chapter of Sigma Xi, the Scientific Research Society, from 1995 to 1999. He is a Member of the Scientific Board of the Plexus Institute, the World Council of the Einstein Institutes and the Advisory Board of the Intelligent Systems Research Center at the University of Ulster Magee Campus. Kelso has held visiting professorships in France, Germany, Russia and (currently) Ireland. He has also lectured extensively in the U.S.A. and abroad. He has received many honors and awards for his scientific research. In 2007, he was named Pierre de Fermat Laureate. In 2017 he was admitted as a member of the Royal Irish Academy.

Work The objective of Kelso's research is to understand how human beings (and human brains — singly and together) coordinate behavior. Kelso and his research team currently use non-invasive neuroimaging techniques (EEG, MEG, fMRI, PET, etc.) and statistical tools to gather information about the structure and function of the brain during real-time behavior. Over the last 30 years or so, along with colleagues working in laboratories around the world, he has participated in an interdisciplinary science called coordination dynamics. Coordination dynamics is an empirical and conceptual framework that tries to explain how patterns of coordination form, persist, adapt and change. The insights of coordination dynamics have been applied to predict behavior in different kinds of systems at different levels of analysis. Coordination dynamics is grounded in the concepts of synergetics and the mathematical tools of dynamical systems (see nonlinear dynamic systems theory and synergetics). But coordination dynamics seeks to model specific properties of human cognition, neurophysiology, and social function – such as anticipation, intention, attention, decision-making and learning. The principal claim of coordination dynamics is that the coordination of neurons in the brain and the coordinated actions of people and animals are linked by virtue of sharing a common mathematical or dynamical structure. Kelso has worked on metastability in neuroscience. This concept has seen a growing interest among theoretical and computational neuroscientists, since it provides a mathematical formalization for the idea that the individual parts of the brain can on the one hand be specialized and segregated yet on the other hand function as an integrated whole.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with J. A. Scott Kelso

Start with the simplest possible case. Write down what J. A. Scott Kelso 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 J. A. Scott Kelso 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 J. A. Scott Kelso 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 J. A. Scott Kelso

In research
J. A. Scott Kelso 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 J. A. Scott Kelso 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
J. A. Scott Kelso is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1947 births, Academics of Ulster University, Alumni of Queen's University Belfast, so understanding it makes those chapters shorter.
In everyday life
Look for J. A. Scott Kelso 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 J. A. Scott Kelso in 20 minutes

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

Frequently asked questions

What is J. A. Scott Kelso in simple terms?

J. A.

Why does J. A. Scott Kelso 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 J. A. Scott Kelso?

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 J. A. Scott Kelso.

Tags

  • 1947 births
  • Academics of Ulster University
  • Alumni of Queen's University Belfast
  • Alumni of Stranmillis University College
  • American neurologists
  • Complex systems scientists
  • Haskins Laboratories scientists
  • Health professionals from County Londonderry
  • Living people
  • Members of the Royal Irish Academy
  • Neuroscientists from Northern Ireland
  • People educated at Foyle College

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