Marc W. Howard

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 22

Top Topics

Scale Invariant

Top Venues

J. Cogn. Neurosci.

Publications

Sahaj Singh Maini, James Mochizuki-Freeman, Chirag Shankar Indi, Brandon G. Jacques, Per B. Sederberg, Marc W. Howard, Zoran Tiganj
Representing Latent Dimensions Using Compressed Number Lines. IJCNN (2023)
Brandon G. Jacques, Zoran Tiganj, Aakash Sarkar, Marc W. Howard, Per B. Sederberg
A deep convolutional neural network that is invariant to time rescaling. ICML (2022)
Wei Zhong Goh, Varun Ursekar, Marc W. Howard
Predicting the Future With a Scale-Invariant Temporal Memory for the Past. Neural Comput. 34 (3) (2022)
Wei Zhong Goh, Varun Ursekar, Marc W. Howard
Predicting the future with a scale-invariant temporal memory for the past. CoRR (2021)
Brandon G. Jacques, Zoran Tiganj, Aakash Sarkar, Marc W. Howard, Per B. Sederberg
SITHCon: A neural network robust to variations in input scaling on the time dimension. CoRR (2021)
Zoran Tiganj, Wei Tang, Marc W. Howard
A computational model for simulating the future using a memory timeline. CogSci (2021)
Brandon G. Jacques, Zoran Tiganj, Marc W. Howard, Per B. Sederberg
DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales. CoRR (2021)
Brandon G. Jacques, Zoran Tiganj, Marc W. Howard, Per B. Sederberg
DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales. NeurIPS (2021)
Yue Liu, Marc W. Howard
Generation of Scale-Invariant Sequential Activity in Linear Recurrent Networks. Neural Comput. 32 (7) (2020)
Rui Cao, Stephen Charczynski, John Bladon, Marc W. Howard
Time flies: Hippocampal time cells represent the distant past with less resolution. CogSci (2020)
Zoran Tiganj, Samuel J. Gershman, Per B. Sederberg, Marc W. Howard
Estimating Scale-Invariant Future in Continuous Time. Neural Comput. 31 (4) (2019)
Claudio A. Toro-Serey, Ian Bright, Brad Wyble, Marc W. Howard
Rapid Presentation Rate Negatively Impacts the Contiguity Effect in Free Recall. CogSci (2019)
Zoran Tiganj, Nathanael Cruzado, Marc W. Howard
Towards a neural-level cognitive architecture: modeling behavior in working memory tasks with neurons. CogSci (2019)
Ian Bright, Rebecca DiDomenica, Rui Cao, Marc W. Howard
The Effect of Multiple Repetitions on Scanning in Long-Term Memory. CogSci (2019)
Daniela J. Palombo, Joseph M. Di Lascio, Marc W. Howard, Mieke Verfaellie
Medial Temporal Lobe Amnesia Is Associated with a Deficit in Recovering Temporal Context. J. Cogn. Neurosci. 31 (2) (2019)
Zoran Tiganj, Jason A. Cromer, Jefferson E. Roy, Earl K. Miller, Marc W. Howard
Compressed Timeline of Recent Experience in Monkey Lateral Prefrontal Cortex. J. Cogn. Neurosci. 30 (7) (2018)
Zoran Tiganj, Samuel J. Gershman, Per B. Sederberg, Marc W. Howard
Estimating scale-invariant future in continuous time. CoRR (2018)
Tyler A. Spears, Brandon G. Jacques, Marc W. Howard, Per B. Sederberg
Scale-invariant temporal history (SITH): optimal slicing of the past in an uncertain world. CoRR (2017)
Zoran Tiganj, Karthik H. Shankar, Marc W. Howard
Neural and computational arguments for memory as a compressed supported timeline. CogSci (2017)
Zoran Tiganj, Karthik H. Shankar, Marc W. Howard
Scale Invariant Value Computation for Reinforcement Learning in Continuous Time. AAAI Spring Symposia (2017)
Karthik H. Shankar, Inder Singh, Marc W. Howard
Neural Mechanism to Simulate a Scale-Invariant Future. Neural Comput. 28 (12) (2016)
Marc W. Howard, Karthik H. Shankar, Zoran Tiganj
Efficient Neural Computation in the Laplace Domain. CoCo@NIPS (2015)
Karthik H. Shankar, Marc W. Howard
Optimally fuzzy temporal memory. J. Mach. Learn. Res. 14 (1) (2013)
Karthik H. Shankar, Marc W. Howard
A Scale-Invariant Internal Representation of Time. Neural Comput. 24 (1) (2012)
Karthik H. Shankar, Marc W. Howard
Optimally fuzzy scale-free memory CoRR (2012)
Marc W. Howard, Karthik H. Shankar, Udaya K. K. Jagadisan
Constructing Semantic Representations From a Gradually Changing Representation of Temporal Context. Top. Cogn. Sci. 3 (1) (2011)
Vinayak A. Rao, Marc W. Howard
Retrieved context and the discovery of semantic structure. NIPS (2007)
Marc W. Howard, Vaidehi S. Natu
Place from time: Reconstructing position from a distributed representation of temporal context. Neural Networks 18 (9) (2005)