Marc W. Howard

31 papers A* 2B 7Journal 19Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hierarchical temporal receptive windows and zero-shot timescale generalization in biologically constrained scale-invariant deep networks. CoRR Aakash Sarkar, Marc W. Howard
2024	J	`jnl`	"What" x "When" working memory representations using Laplace Neural Manifolds. CoRR Aakash Sarkar, Chenyu Wang, Shangfu Zuo, Marc W. Howard
2023	B	`conf`	Representing Latent Dimensions Using Compressed Number Lines. IJCNN Sahaj Singh Maini, James Mochizuki-Freeman, Chirag Shankar Indi, Brandon G. Jacques, Per B. Sederberg, Marc W. Howard, Zoran Tiganj
2022	A*	`conf`	A deep convolutional neural network that is invariant to time rescaling. ICML Brandon G. Jacques, Zoran Tiganj, Aakash Sarkar, Marc W. Howard, Per B. Sederberg
2022	J	`jnl`	Predicting the Future With a Scale-Invariant Temporal Memory for the Past. Neural Comput. Wei Zhong Goh, Varun Ursekar, Marc W. Howard
2021	B	`conf`	A computational model for simulating the future using a memory timeline. CogSci Zoran Tiganj, Wei Tang, Marc W. Howard
2021	A*	`conf`	DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales. NeurIPS Brandon G. Jacques, Zoran Tiganj, Marc W. Howard, Per B. Sederberg
2021	J	`jnl`	DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales. CoRR Brandon G. Jacques, Zoran Tiganj, Marc W. Howard, Per B. Sederberg
2021	J	`jnl`	Predicting the future with a scale-invariant temporal memory for the past. CoRR Wei Zhong Goh, Varun Ursekar, Marc W. Howard
2021	J	`jnl`	SITHCon: A neural network robust to variations in input scaling on the time dimension. CoRR Brandon G. Jacques, Zoran Tiganj, Aakash Sarkar, Marc W. Howard, Per B. Sederberg
2020	J	`jnl`	Generation of Scale-Invariant Sequential Activity in Linear Recurrent Networks. Neural Comput. Yue Liu, Marc W. Howard
2020	B	`conf`	Time flies: Hippocampal time cells represent the distant past with less resolution. CogSci Rui Cao, Stephen Charczynski, John Bladon, Marc W. Howard
2019	J	`jnl`	Estimating Scale-Invariant Future in Continuous Time. Neural Comput. Zoran Tiganj, Samuel J. Gershman, Per B. Sederberg, Marc W. Howard
2019	J	`jnl`	Medial Temporal Lobe Amnesia Is Associated with a Deficit in Recovering Temporal Context. J. Cogn. Neurosci. Daniela J. Palombo, Joseph M. Di Lascio, Marc W. Howard, Mieke Verfaellie
2019	B	`conf`	Rapid Presentation Rate Negatively Impacts the Contiguity Effect in Free Recall. CogSci Claudio A. Toro-Serey, Ian Bright, Brad Wyble, Marc W. Howard
2019	J	`jnl`	Scale-dependent Relationships in Natural Language. CoRR Aakash Sarkar, Marc W. Howard
2019	B	`conf`	The Effect of Multiple Repetitions on Scanning in Long-Term Memory. CogSci Ian Bright, Rebecca DiDomenica, Rui Cao, Marc W. Howard
2019	B	`conf`	Towards a neural-level cognitive architecture: modeling behavior in working memory tasks with neurons. CogSci Zoran Tiganj, Nathanael Cruzado, Marc W. Howard
2018	J	`jnl`	Compressed Timeline of Recent Experience in Monkey Lateral Prefrontal Cortex. J. Cogn. Neurosci. Zoran Tiganj, Jason A. Cromer, Jefferson E. Roy, Earl K. Miller, Marc W. Howard
2018	J	`jnl`	Estimating scale-invariant future in continuous time. CoRR Zoran Tiganj, Samuel J. Gershman, Per B. Sederberg, Marc W. Howard
2017	B	`conf`	Neural and computational arguments for memory as a compressed supported timeline. CogSci Zoran Tiganj, Karthik H. Shankar, Marc W. Howard
2017	—	`conf`	Scale Invariant Value Computation for Reinforcement Learning in Continuous Time. AAAI Spring Symposia Zoran Tiganj, Karthik H. Shankar, Marc W. Howard
2017	J	`jnl`	Scale-invariant temporal history (SITH): optimal slicing of the past in an uncertain world. CoRR Tyler A. Spears, Brandon G. Jacques, Marc W. Howard, Per B. Sederberg
2016	J	`jnl`	Neural Mechanism to Simulate a Scale-Invariant Future. Neural Comput. Karthik H. Shankar, Inder Singh, Marc W. Howard
2015	—	`conf`	Efficient Neural Computation in the Laplace Domain. CoCo@NIPS Marc W. Howard, Karthik H. Shankar, Zoran Tiganj
2013	J	`jnl`	Optimally fuzzy temporal memory. J. Mach. Learn. Res. Karthik H. Shankar, Marc W. Howard
2012	J	`jnl`	A Scale-Invariant Internal Representation of Time. Neural Comput. Karthik H. Shankar, Marc W. Howard
2012	J	`jnl`	Optimally fuzzy scale-free memory CoRR Karthik H. Shankar, Marc W. Howard
2011	J	`jnl`	Constructing Semantic Representations From a Gradually Changing Representation of Temporal Context. Top. Cogn. Sci. Marc W. Howard, Karthik H. Shankar, Udaya K. K. Jagadisan
2007	—	`conf`	Retrieved context and the discovery of semantic structure. NIPS Vinayak A. Rao, Marc W. Howard
2005	J	`jnl`	Place from time: Reconstructing position from a distributed representation of temporal context. Neural Networks Marc W. Howard, Vaidehi S. Natu