Using computational simulations to discover optimal training paradigms. - Aaron P. Shon; Xiangbao Wu; William B. Levy (Neurocomputing, 2000)

Learning Spike-Based Correlations and Conditional Probabilities in Silicon. - Aaron P. Shon; David Hsu; Chris Diorio (NIPS, 2001)

Probabilistic Bilinear Models for Appearance-Based Vision. - David B. Grimes; Aaron P. Shon; Rajesh P. N. Rao (ICCV, 2003)

Learning temporal patterns by redistribution of synaptic efficacy. - Aaron P. Shon; Rajesh P. N. Rao (Neurocomputing, 2003)

Robotic imitation from human motion capture using Gaussian processes. - Aaron P. Shon; Keith Grochow; Rajesh P. N. Rao (Humanoids, 2005)

Probabilistic Gaze Imitation and Saliency Learning in a Robotic Head. - Aaron P. Shon; David B. Grimes; Chris L. Baker; Matthew W. Hoffman; Shengli Zhou; Rajesh P. N. Rao (ICRA, 2005)

Learning Shared Latent Structure for Image Synthesis and Robotic Imitation. - Aaron P. Shon; Keith Grochow; Aaron Hertzmann; Rajesh P. N. Rao (NIPS, 2005)

Learning temporal clusters with synaptic facilitation and lateral inhibition. - Chris L. Baker; Aaron P. Shon; Rajesh P. N. Rao (Neurocomputing, 2005)

Implementing belief propagation in neural circuits. - Aaron P. Shon; Rajesh P. N. Rao (Neurocomputing, 2005)

A probabilistic model of gaze imitation and shared attention. - Matthew W. Hoffman; David B. Grimes; Aaron P. Shon; Rajesh P. N. Rao (Neural Networks, 2006)

Active Imitation Learning. - Aaron P. Shon; Deepak Verma; Rajesh P. N. Rao (AAAI, 2007)

Towards a Real-Time Bayesian Imitation System for a Humanoid Robot. - Aaron P. Shon; Joshua J. Storz; Rajesh P. N. Rao (ICRA, 2007)

A Cognitive Model of Imitative Development in Humans and Machines. - Aaron P. Shon; Joshua J. Storz; Andrew N. Meltzoff; Rajesh P. N. Rao (Int. J. Humanoid Robotics, 2007)

"Social" robots are psychological agents for infants: A test of gaze following. - Andrew N. Meltzoff; Rechele Brooks; Aaron P. Shon; Rajesh P. N. Rao (Neural Networks, 2010)