Neural representations of compositional structures: representing and manipulating vector spaces with spiking neurons. - Terrence C. Stewart; Trevor Bekolay; Chris Eliasmith (Connect. Sci., 2011)

Simultaneous unsupervised and supervised learning of cognitive functions in biologically plausible spiking neural networks. - Trevor Bekolay; Carter Kolbeck; Chris Eliasmith (CogSci, 2013)

Nengo: a Python tool for building large-scale functional brain models. - Trevor Bekolay; James Bergstra; Eric Hunsberger; Travis DeWolf; Terrence C. Stewart; Daniel Rasmussen; Feng-Xuan Choo; Aaron Voelker; Chris Eliasmith (Frontiers Neuroinformatics, 2013)

Modeling speech production using the Neural Engineering Framework. - Bernd J. Kröger; Trevor Bekolay; Chris Eliasmith (CogInfoCom, 2014)

Modeling Interactions between Speech Production and Perception: Speech Error Detection at Semantic and Phonological Levels and the Inner Speech Loop. - Bernd J. Kröger; Eric Crawford; Trevor Bekolay; Chris Eliasmith (Frontiers Comput. Neurosci., 2016)

Biologically inspired methods in speech recognition and synthesis: closing the loop. - Trevor Bekolay (2016)

Inhibiting Basal Ganglia Regions Reduces Syllable Sequencing Errors in Parkinson's Disease: A Computer Simulation Study. - Valentin Senft; Terrence C. Stewart; Trevor Bekolay; Chris Eliasmith; Bernd J. Kröger (Frontiers Comput. Neurosci., 2018)

Natural Language Processing in Large-Scale Neural Models for Medical Screenings. - Catharina Marie Stille; Trevor Bekolay; Peter Blouw; Bernd J. Kröger (Frontiers Robotics AI, 2019)

Hierarchical Sequencing and Feedforward and Feedback Control Mechanisms in Speech Production: A Preliminary Approach for Modeling Normal and Disordered Speech. - Bernd J. Kröger; Catharina Marie Stille; Peter Blouw; Trevor Bekolay; Terrence C. Stewart (Frontiers Comput. Neurosci., 2020)