Unsupervised Learning from Continuous Video in a Scalable Predictive Recurrent Network. - Filip Piekniewski; Patryk A. Laurent; Csaba Petre; Micah Richert; Dimitry Fisher; Todd Hylton (CoRR, 2016)

Fundamental principles of cortical computation: unsupervised learning with prediction, compression and feedback. - Micah Richert; Dimitry Fisher; Filip Piekniewski; Eugene M. Izhikevich; Todd Hylton (CoRR, 2016)

Saccadic Predictive Vision Model with a Fovea. - Michael Hazoglou; Todd Hylton (CoRR, 2018)

Advantage of prediction and mental imagery for goal-directed behaviour in agents and robots. - Jeffrey L. Krichmar; Tiffany Hwu; Xinyun Zou; Todd Hylton (Cogn. Comput. Syst., 2019)

Thermodynamic Computing. - Tom Conte 001; Erik DeBenedictis; Natesh Ganesh; Todd Hylton; John Paul Strachan; R. Stanley Williams; Alexander A. Alemi; Lee Altenberg; Gavin E. Crooks; James P. Crutchfield; Lídia del Rio; Josh Deutsch; et al. (CoRR, 2019)

Integrating Motion into Vision Models for Better Visual Prediction. - Michael Hazoglou; Todd Hylton (CoRR, 2019)

Thermodynamic Neural Network. - Todd Hylton (Entropy, 2020)

A vision to compute like nature: thermodynamically. - Todd Hylton; Thomas M. Conte; Mark D. Hill (Commun. ACM, 2021)

Thermodynamic State Machine Network. - Todd Hylton (Entropy, 2022)