I want to understand the basic building blocks that determine how past auditory experiences influence what and how we hear now. My work has involved studies of auditory learning—how does training on one day influence auditory skill the next day?—and, recently, studies of auditory scene analysis—how does what you've heard in the past few seconds influence how you process multiple sound sources now? These questions can advance our scientific understanding of auditory processing in the brain, but they can also contribute to better rehabilitation for those with hearing impairments and learning disabilities that are driven, at least in part, by auditory deficits such as dyslexia, specific language impairment and auditory processing disorder.


Refereed Journal Articles

  • Little, D. F., Zhang, Y., Wright, B. A. (revise and resubmit). Disruption of skill learning by a brief practice break. Current Biology.

Refereed Conference Proceedings

  • Little, D. F., Pardo, B., & Wright, B. A. (2011). A Computational Model of Auditory Perceptual Learning: Predicting Learning Interference Across Multiple Tasks. Proceedings of the 33rd Annual Conference of the Cognitive Science Society. Boston, MA.
  • Little, D. F., & Pardo, B. (2010). Computational Models of Perceptual Learning Across Multiple Auditory Tasks: Mod- eling Daily Learning Limits as Memory Decay. Proceedings of the 10th International Conference on Cognitive Modeling.
  • Little, D. F., & Pardo, B. (2008). Learning Musical Instruments from Mixtures of Audio with Weak Labels. 9th Inter- national Conference on Music Information Retrieval (ISMIR).
  • Little, D. F., Raffensperger, D., & Pardo, B. (2007). A Query By Humming System that Learns from Experience. 8th International Conference on Music Information Retrieval. Vienna, Austria.
  • Little, D. F., & Walter, J. (2005). Using Hexagonal Metamorphic Robots to Form Temporary Bridges. in Proc. of the IEEE International Conference on Intelligent Robotic Systems (pp. 2652-2657). Edmonton, Alberta, Canada.
  • Walter, J., Brooks, M., Little, D. F., & Amato, N. (2004). Enveloping Multi-Pocket Obstacles with Hexagonal Meta- morphic Robots. in Proc. of the IEEE Intl. Conf. on Robotics and Automation (pp. 2204-2209). New Orleans, LA.
  • Walter, J., & Little, D. F.. (2004). Bridging Gaps in Traversal Surfaces with Hexagonal Metamorphic Robots. in Proc. of the American Nuclear Society 10th International Conference on Robotics and Remote Systems for Hazardous Environments (pp. 28-31). Gainsville, FL.

Conference Abstracts/Presentations

  • Little, D. F., Wright, B. A. (2016). Distinct time constraints on when different types of stimulus exposure can enhance auditory learning following task performance. Association for Research in Otolaryngology Abstracts, PD 42.
  • Little, D. F., Cheng, H., Wright, B. A. (2015). Learning on a musical-interval discrimination task through a combi- nation of task practice and stimulus exposure alone. Society for Neuroscience, Poster #351.10/BB20
  • Little, D. F., Wright, B. A. (2015). The Time Course of a Refractory Period in the Benefits of Perceptual Training. Association for Research in Otolaryngology Abstracts, Abstract #275, 166 (A).
  • Little, D. F., Marrone, N., Han, H., Wright, B. A. (2014). Prevention of auditory perceptual learning attributed to distinct representations of the same auditory stimulus in quiet and in noise. Association for Research in Otolaryngology Abstracts, Abstract #162, 88 (A).
  • Little, D. F., Wright, B. A. (2013). Retention of Auditory Memory During Breaks in Perceptual Training. Association for Research in Otolaryngology Abstracts, Abstract #371, 197. (A)
  • Little, D. F., Zhang, Y. X., Wright, B. A. (2012). Distinct effects of trial spacing on perceptual learning and gener- alization. Cognitive Neuroscience. Nineteenth Annual Cognitive Neuroscience Society Meeting. March 31 - April 3. Chicago, IL.
  • Wright, B. A., Little, D. F. (2012) Differences in the representations engaged during the acquisition and consolidation of auditory perceptual learning. 3rd International Workshop on Perceptual Learning. Third Perceptual Learning Workshop, Nara Japan, December 4-8.
  • Little, D, Raffensperger, D, & Pardo, B. (2007). User-specific Training for a Music Search Engine. 4th Joint Work- shop on Multimodal Interaction and Related Machine Learning Algorithms (pp. 28-30). Brno, Czech Republic.