Scott G. Warren

Scott Warren


Entering Class:


University of Florida
Materials Engineering major, Mathematics minor
B.S., 2009

University of Minnesota
Neuroscience Graduate Program
Ph.D., 2016

Honors and Awards:

  • Morris Smithberg Award for outstanding performance in the first year of Neuroscience Graduate curriculum, 2012
  • MSTP Student Governance:
  • Student Advisory Committee 2014-2016 
  • Student Admissions Committee, 2013
  • Life Sciences Summer Undergraduate Program Mentor, 2013, 2014

Thesis Advisor: Geoff Ghose, Ph.D.

Thesis Research

Learning is thought to occur through long-lasting changes in the cerebral cortex, but the rules and mechanisms governing how brain circuitry changes with training remain uncertain. In particular, electrophysiology and functional imaging studies have shown distinct and conflicting roles for primary visual cortex (V1) during visual training. Cellular recording from macaque V1 has demonstrated no change in neuronal firing rate or in orientation tuning attributable to visual training. Functional magnetic resonance imaging (fMRI) of human V1, however, has demonstrated increased activity in response to visual training. Additionally, the extent to which changes in neuronal activity are occurring in higher-order visual areas during these training paradigms is unknown.

Scott aims to better characterize the process of visual learning by combining electrophysiology and fMRI in a single study targeting multiple visual areas. This will enable the investigation of changes in neuronal activity at the level of single neurons, of local neuronal populations (using local field potentials), and of very large populations (using fMRI). Understanding the process of visual learning at each of these scales in a healthy animal will provide a stronger framework for investigating the pathologies which are present in humans with learning impairments and with mental disorders involving defects in sensory processing.

Publications (pubmed)

Warren SG, Yacoub E, Ghose GM. Featural and temporal attention selectively enhance task-appropriate representations in human primary visual cortex. Nat Commun. 2014 Dec 12;5:5643. PMCID: PMC4349356