| 2023 | IJCNN | Representing Latent Dimensions Using Compressed Number Lines. | Sahaj Singh Maini, James Mochizuki-Freeman, Chirag Shankar Indi, Brandon G. Jacques, Per B. Sederberg, Marc W. Howard, Zoran Tiganj |
| 2022 | ICML | A deep convolutional neural network that is invariant to time rescaling. | Brandon G. Jacques, Zoran Tiganj, Aakash Sarkar, Marc W. Howard, Per B. Sederberg |
| 2021 | CogSci | A computational model for simulating the future using a memory timeline. | Zoran Tiganj, Wei Tang, Marc W. Howard |
| 2020 | CogSci | Time flies: Hippocampal time cells represent the distant past with less resolution. | Rui Cao, Stephen Charczynski, John Bladon, Marc W. Howard |
| 2019 | CogSci | The Effect of Multiple Repetitions on Scanning in Long-Term Memory. | Ian Bright, Rebecca DiDomenica, Rui Cao, Marc W. Howard |
| 2019 | CogSci | Towards a neural-level cognitive architecture: modeling behavior in working memory tasks with neurons. | Zoran Tiganj, Nathanael Cruzado, Marc W. Howard |
| 2019 | CogSci | Rapid Presentation Rate Negatively Impacts the Contiguity Effect in Free Recall. | Claudio A. Toro-Serey, Ian Bright, Brad Wyble, Marc W. Howard |
| 2017 | CogSci | Neural and computational arguments for memory as a compressed supported timeline. | Zoran Tiganj, Karthik H. Shankar, Marc W. Howard |