Marc W. Howard

According to our database, Marc W. Howard authored at least 27 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

"What" x "When" working memory representations using Laplace Neural Manifolds.

Aakash Sarkar, Chenyu Wang, Shangfu Zuo, Marc W. Howard

CoRR, 2024

2023

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

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Predicting the Future With a Scale-Invariant Temporal Memory for the Past.

Wei Zhong Goh, Varun Ursekar, Marc W. Howard

Neural Comput., 2022

A deep convolutional neural network that is invariant to time rescaling.

Brandon G. Jacques, Zoran Tiganj, Aakash Sarkar, Marc W. Howard, Per B. Sederberg

Proceedings of the International Conference on Machine Learning, 2022

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

DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales.

Brandon G. Jacques, Zoran Tiganj, Marc W. Howard, Per B. Sederberg

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A computational model for simulating the future using a memory timeline.

Zoran Tiganj, Wei Tang, Marc W. Howard

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

Generation of Scale-Invariant Sequential Activity in Linear Recurrent Networks.

Yue Liu, Marc W. Howard

Neural Comput., 2020

Time flies: Hippocampal time cells represent the distant past with less resolution.

Rui Cao, Stephen Charczynski, John Bladon, Marc W. Howard

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

Estimating Scale-Invariant Future in Continuous Time.

Zoran Tiganj, Samuel J. Gershman, Per B. Sederberg, Marc W. Howard

Neural Comput., 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

Scale-dependent Relationships in Natural Language.

Aakash Sarkar, Marc W. Howard

CoRR, 2019

Rapid Presentation Rate Negatively Impacts the Contiguity Effect in Free Recall.

Claudio A. Toro-Serey, Ian Bright, Brad Wyble, Marc W. Howard

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Towards a neural-level cognitive architecture: modeling behavior in working memory tasks with neurons.

Zoran Tiganj, Nathanael Cruzado, Marc W. Howard

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

The Effect of Multiple Repetitions on Scanning in Long-Term Memory.

Ian Bright, Rebecca DiDomenica, Rui Cao, Marc W. Howard

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

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

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

Neural and computational arguments for memory as a compressed supported timeline.

Zoran Tiganj, Karthik H. Shankar, Marc W. Howard

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Scale Invariant Value Computation for Reinforcement Learning in Continuous Time.

Zoran Tiganj, Karthik H. Shankar, Marc W. Howard

Proceedings of the 2017 AAAI Spring Symposia, 2017

2016

Neural Mechanism to Simulate a Scale-Invariant Future.

Karthik H. Shankar, Inder Singh, Marc W. Howard

Neural Comput., 2016

2015

Efficient Neural Computation in the Laplace Domain.

Marc W. Howard, Karthik H. Shankar, Zoran Tiganj

Proceedings of the NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches co-located with the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), 2015

2013

Optimally fuzzy temporal memory.

Karthik H. Shankar, Marc W. Howard

J. Mach. Learn. Res., 2013

2012

A Scale-Invariant Internal Representation of Time.

Karthik H. Shankar, Marc W. Howard

Neural Comput., 2012

Optimally fuzzy scale-free memory

Karthik H. Shankar, Marc W. Howard

CoRR, 2012

2011

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

2007

Retrieved context and the discovery of semantic structure.

Vinayak A. Rao, Marc W. Howard

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2005

Place from time: Reconstructing position from a distributed representation of temporal context.

Marc W. Howard, Vaidehi S. Natu

Neural Networks, 2005