Who Needs Time? Implicit Time Is Sufficient for Some HRI Tasks. - Richard Veale; Matthias Scheutz (AAAI Spring Symposium: It's All in the Timing, 2010)

Temporal, Environmental, and Social Constraints of Word-Referent Learning in Young Infants: A Neurorobotic Model of Multimodal Habituation. - Richard Veale; Paul W. Schermerhorn; Matthias Scheutz (IEEE Trans. Auton. Ment. Dev., 2011)

Neural Circuits for Any-Time Phrase Recognition with Applications in Cognitive Models and Human-Robot Interaction. - Richard Veale; Matthias Scheutz (CogSci, 2012)

Auditory habituation via spike-timing dependent plasticity in recurrent neural circuits. - Richard Veale; Matthias Scheutz (ICDL-EPIROB, 2012)

Linking Cognitive Tokens to Biological Signals: Dialogue Context Improves Neural Speech Recognizer Performance. - Richard Veale; Gordon Briggs; Matthias Scheutz (CogSci, 2013)

Applying differential evolution MCMC to parameterize large-scale spiking neural simulations. - Richard Veale; Tadashi Isa; Masatoshi Yoshida (CEC, 2015)

Technical Implementation of a Visual Attention Neuro-Prosthesis. - Richard Veale; Tadashi Isa; Masatoshi Yoshida (SMC, 2015)

A parallelized dynamic programming approach to zero resource spoken term discovery. - Bradley Oosterveld; Richard Veale; Matthias Scheutz (ICASSP, 2017)

Why We Should Report Colorimetric Data In Every Paper. - Richard Veale; Takahiko Kawashima; Tomohisa Okada; Jun Miyata (CogSci, 2021)

Marmoset Monkeys Model Human Infant Gaze? - Richard Veale; Chih-Yang Chen; Tadashi Isa (ICDL, 2021)