Place from time: Reconstructing position from a distributed representation of temporal context. - Marc W. Howard; Vaidehi S. Natu (Neural Networks, 2005)

Retrieved context and the discovery of semantic structure. - Vinayak A. Rao; Marc W. Howard (NIPS, 2007)

Constructing Semantic Representations From a Gradually Changing Representation of Temporal Context. - Marc W. Howard; Karthik H. Shankar; Udaya K. K. Jagadisan (Top. Cogn. Sci., 2011)

Optimally fuzzy scale-free memory - Karthik H. Shankar; Marc W. Howard (CoRR, 2012)

A Scale-Invariant Internal Representation of Time. - Karthik H. Shankar; Marc W. Howard (Neural Comput., 2012)

Optimally fuzzy temporal memory. - Karthik H. Shankar; Marc W. Howard (J. Mach. Learn. Res., 2013)

Efficient Neural Computation in the Laplace Domain. - Marc W. Howard; Karthik H. Shankar; Zoran Tiganj (CoCo@NIPS, 2015)

Neural Mechanism to Simulate a Scale-Invariant Future. - Karthik H. Shankar; Inder Singh; Marc W. Howard (Neural Comput., 2016)

Scale Invariant Value Computation for Reinforcement Learning in Continuous Time. - Zoran Tiganj; Karthik H. Shankar; Marc W. Howard (AAAI Spring Symposia, 2017)

Neural and computational arguments for memory as a compressed supported timeline. - Zoran Tiganj; Karthik H. Shankar; Marc W. Howard (CogSci, 2017)

Scale-invariant temporal history (SITH): optimal slicing of the past in an uncertain world. - Tyler A. Spears; Brandon G. Jacques; Marc W. Howard; Per B. Sederberg (CoRR, 2017)

Compressed Timeline of Recent Experience in Monkey Lateral Prefrontal Cortex. - Zoran Tiganj; Jason A. Cromer; Jefferson E. Roy; Earl K. Miller; Marc W. Howard (J. Cogn. Neurosci., 2018)

The Effect of Multiple Repetitions on Scanning in Long-Term Memory. - Ian Bright; Rebecca DiDomenica; Rui Cao; Marc W. Howard (CogSci, 2019)

Towards a neural-level cognitive architecture: modeling behavior in working memory tasks with neurons. - Zoran Tiganj; Nathanael Cruzado; Marc W. Howard (CogSci, 2019)

Rapid Presentation Rate Negatively Impacts the Contiguity Effect in Free Recall. - Claudio A. Toro-Serey; Ian Bright; Brad Wyble; Marc W. Howard (CogSci, 2019)

Scale-dependent Relationships in Natural Language. - Aakash Sarkar; Marc W. Howard (CoRR, 2019)

Medial Temporal Lobe Amnesia Is Associated with a Deficit in Recovering Temporal Context. - Daniela J. Palombo; Joseph M. Di Lascio; Marc W. Howard; Mieke Verfaellie (J. Cogn. Neurosci., 2019)

Estimating Scale-Invariant Future in Continuous Time. - Zoran Tiganj; Samuel J. Gershman; Per B. Sederberg; Marc W. Howard (Neural Comput., 2019)

Time flies: Hippocampal time cells represent the distant past with less resolution. - Rui Cao; Stephen Charczynski; John Bladon; Marc W. Howard (CogSci, 2020)

Generation of Scale-Invariant Sequential Activity in Linear Recurrent Networks. - Yue Liu; Marc W. Howard (Neural Comput., 2020)

A computational model for simulating the future using a memory timeline. - Zoran Tiganj; Wei Tang; Marc W. Howard (CogSci, 2021)

DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales. - Brandon G. Jacques; Zoran Tiganj; Marc W. Howard; Per B. Sederberg (NeurIPS, 2021)

SITHCon: A neural network robust to variations in input scaling on the time dimension. - Brandon G. Jacques; Zoran Tiganj; Aakash Sarkar; Marc W. Howard; Per B. Sederberg (CoRR, 2021)

A deep convolutional neural network that is invariant to time rescaling. - Brandon G. Jacques; Zoran Tiganj; Aakash Sarkar; Marc W. Howard; Per B. Sederberg (ICML, 2022)

Predicting the Future With a Scale-Invariant Temporal Memory for the Past. - Wei Zhong Goh; Varun Ursekar; Marc W. Howard (Neural Comput., 2022)

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 (IJCNN, 2023)

"What" x "When" working memory representations using Laplace Neural Manifolds. - Aakash Sarkar; Chenyu Wang; Shangfu Zuo; Marc W. Howard (CoRR, 2024)