About

Dr. Barrington L. Coleman is a professor of vocal studies, aural skills, humanities, performing vocal artist, pianist, and choral conductor. He has performed and recorded as a tenor soloist with esteemed organizations such as the Chicago Symphony Orchestra and Chorus, Music of the Baroque Ensemble, Royal Opera House of Covent Garden, La Fenice in Venice, Glyndebourne Opera, London Philharmonic and Symphony Orchestras, and the Sunday Evening Club of WTTW-TV in Chicago. His collaborations include working with prominent composers like Coleridge Taylor Perkinson, Adolphus Hailstork, Doug McConnell, and Richard Hundley on various works for voice. Additionally, he has performed as a jazz pianist with many notable jazz artists, including Christian McBride, Lonnie Plaxico, and Sam Rivers, and has his own jazz trio.

Research topics

• Chemistry
• Computer science
• Computer graphics (images)
• Art
• Visual arts

Selected publications

• The spatiotemporal profile of diffusion MRI based measures of microstructural changes in white matter evoked by learning novel visual scenes

  Journal of Vision · 2019-09-06

  articleOpen accessCorresponding

  The ability to learn throughout our lifetime is known to be mediated by structural changes in the brain. However, the spatiotemporal dynamics of such changes during learning are unclear. Here, we trained 10 naïve, adult rhesus monkeys (Macaca mulatta) in two tasks sequentially. The monkeys were first trained to criterion (90%) in the “one-place” task, a visuomotor task which required the monkey to reach and touch an object on a computer screen. Next, the monkeys were trained to touch a target foreground object placed in an artificial visual “scene” composed of multiple geometric elements. The monkeys learned several unique scenes concurrently; the identity and location of the target object differed across scenes, but was fixed within scenes. We acquired multishell advanced Diffusion MRI (dMRI) images from the monkeys across two timepoints (before training and after reaching criterion in one or both tasks) using a Bruker 4.7T MRI system. Behaviorally, the monkeys showed wide individual variability in their ability to learn the different tasks. Whole brain analyses of white matter revealed significant changes in measures of water diffusivity (Radial (RD), Axial (AD), Parenchymal (PD)) but not measures of anisotropy (Fractional, Linear, Planar), between the timepoints. Interestingly, the decrease in PD, a measure of tissue density without freewater contamination, was correlated with faster learning of the visual scenes task. Analysis comparing monkeys that mastered the scenes task and those that did not, indicated a focal change in RD along the crus of the fornix. Further examination revealed that a decrease in diffusivity measures in the crus, possibly due to an increase in restricted/hindered water diffusion, tends to be correlated with faster scene learning. Overall, the pattern of changes in the dMRI measures suggest that prolonged learning of complex visual scenes evokes global as well as local changes in white matter microstructure.

  PublisherDOI

• Complete Post's focus on content

  Inside Film: If · 2015-02-01

  article1st authorCorresponding

  Digital post-production has ushered in major shifts from workflows, to storage solutions, to virtual film sets simulated by VFX in post. In this series, brought to you by Seagate, IF takes a look at some of post-production facilities and how they are not only managing, but actually driving the new phenomenon. Brian Coleman reports.

  Publisher

• Intelligent tape libraries and the robots that manage them

  Inside Film: If · 2015-06-01

  article1st authorCorresponding

  Tape libraries in the form of LTO tapes have become the trusted source for deep archiving valuable high-resolution data files. Brian Coleman reports.

  Publisher

• Cameras and lenses aim up for SMPTE 2015

  Inside Film: If · 2015-06-01

  article1st authorCorresponding

  In the two years since the 4K excitement of SMPTE 2013, high-resolution camera and lens technology has filtered into almost every niche of the industry. Brian Coleman reports.

  Publisher

• Camera technology: The machine rages on

  Inside Film: If · 2015-02-01

  article1st authorCorresponding

  The quest for higher image resolution, mobility and affordability is delivering a new wave of digital camera technology into new arenas. Brian Coleman reports.

  Publisher

• If I had a gadget

  Inside Film: If · 2014-10-01

  article1st authorCorresponding
  Publisher

• Drowning in data

  Inside Film: If · 2014-02-01

  article1st authorCorresponding

  Stored media has evolved from a chrysalis of 35mm film conserved in dry, temperature controlled, dehumidified environments, to a digital world of spinning disks and LTO tape that can be accessed from something as simple as a browser. Brian Coleman reports.

  Publisher

• Visual effects: Seeing isn't believing

  Inside Film: If · 2014-02-01

  article1st authorCorresponding

  Movie making is surging into a boundless visual effects world where even chroma key is becoming old hat, and pipelines and specialist workflows are the new zeitgeist. Brian Coleman reports.

  Publisher

• The evolving mixdown console

  Inside Film: If · 2014-10-01

  article1st authorCorresponding

  Avid, Neve and Harrison are some of the consoles that have dominated the worlds of both Ethernet and DSP based audio post-production; now new hybrid systems and even new competitors are emerging.

  Publisher

• Blue post: Delivering the cinematic experience to television

  Inside Film: If · 2014-12-01

  article1st authorCorresponding

  Digital post-production has ushered in major shifts from workflows, to storage solutions, to virtual film sets simulated by VFX in post. In this series, brought to you by Seagate, IF takes a look at some of post-production facilities and how they are not only managing, but actually driving the new phenomenon. Brian Coleman reports.

  Publisher

Frequent coauthors

• Tina Huang

  Oak Ridge National Laboratory

  4 shared

• Theodore Kuwana

  University of Kansas

  4 shared

• Prachak Inkaew

  Mae Fah Luang University

  4 shared

• Richard S. Kelly

  Imperial College London

  4 shared

• Paul W. Bohn

  University of Notre Dame

  3 shared

• N. Finnegan

  University of Illinois Urbana-Champaign

  2 shared

• Brian P. McIntyre

  2 shared

• Gene G. Wubbels

  University of Nebraska at Kearney

  2 shared