Challenges in Understanding Visual Shape Perception and Representation: Bridging Subsymbolic and Symbolic Coding. - Philip J. Kellman; Patrick Garrigan; Gennady Erlikhman (Shape Perception in Human and Computer Vision, 2013)

The neural representation of objects formed through the spatiotemporal integration of visual transients. - Gennady Erlikhman; Gennadiy Gurariy; Ryan E. B. Mruczek; Gideon Paul Caplovitz (NeuroImage, 2016)

Decoding information about dynamically occluded objects in visual cortex. - Gennady Erlikhman; Gideon Paul Caplovitz (NeuroImage, 2017)

On the Legibility of Mirror-Reflected and Rotated Text. - Gennady Erlikhman; Lars Strother; Iskra Barzakov; Gideon Paul Caplovitz (Symmetry, 2017)

Deep Convolutional Networks do not Perceive Illusory Contours. - Nicholas Baker; Gennady Erlikhman; Philip J. Kellman; Hongjing Lu (CogSci, 2018)

Deep convolutional networks do not classify based on global object shape. - Nicholas Baker; Hongjing Lu; Gennady Erlikhman; Philip J. Kellman (PLoS Comput. Biol., 2018)