deep learning research group

The University of Connecticut Deep Learning Research Group (est. 2015) was founded by Nick Monto, Parker Tichko, and Henry Wolf to supplement coursework and research opportunities in the Neurobiology of Language IGERT Program. It is a student-run group that pursues education and research in the application of machine learning techniques to cognitive science, neurobiology, and linguistics questions. Our research has focused on the use of Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) to solve language science questions.

Current Projects

Past Projects

  • Simulating Lexical Decision with a CNN (GitHub)
  • Counting the Number of Strokes in Kanji with a CNN (GitHub)
  • Simulating English Pluralization with Artificial Neural Networks (GitHub)


  • Ongoing: weekly meeting on Wednesdays at 3:00 PM in Arjona 324
  • Invited visiting researcher Thomas Hannagan to visit for three weeks in May 2016
  • Attended the 2015 Annual Conference on Neural Information Processing Systems