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ORCIDMarc W. Howard
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- affiliation: Boston University, Department of Psychological and Brain Sciences, MA, USA
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Journal Articles
- 2022
[j10]Wei Zhong Goh, Varun Ursekar, Marc W. Howard:
Predicting the Future With a Scale-Invariant Temporal Memory for the Past. Neural Comput. 34(3): 642-685 (2022)- 2020
- [j9]Yue Liu, Marc W. Howard:
Generation of Scale-Invariant Sequential Activity in Linear Recurrent Networks. Neural Comput. 32(7): 1379-1407 (2020) - 2019
- [j8]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) - [j7]Zoran Tiganj, Samuel J. Gershman, Per B. Sederberg, Marc W. Howard:
Estimating Scale-Invariant Future in Continuous Time. Neural Comput. 31(4) (2019) - 2018
- [j6]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) - 2016
- [j5]Karthik H. Shankar, Inder Singh, Marc W. Howard:
Neural Mechanism to Simulate a Scale-Invariant Future. Neural Comput. 28(12): 2594-2627 (2016) - 2013
- [j4]Karthik H. Shankar, Marc W. Howard:
Optimally fuzzy temporal memory. J. Mach. Learn. Res. 14(1): 3785-3812 (2013) - 2012
- [j3]Karthik H. Shankar, Marc W. Howard:
A Scale-Invariant Internal Representation of Time. Neural Comput. 24(1): 134-193 (2012) - 2011
- [j2]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): 48-73 (2011) - 2005
- [j1]Marc W. Howard, Vaidehi S. Natu:
Place from time: Reconstructing position from a distributed representation of temporal context. Neural Networks 18(9): 1150-1162 (2005)
Conference and Workshop Papers
- 2023
- [c12]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: 1-10 - 2022
- [c11]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: 9729-9738 - 2021
- [c10]Zoran Tiganj, Wei Tang, Marc W. Howard:
A computational model for simulating the future using a memory timeline. CogSci 2021 - [c9]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: 27530-27541 - 2020
- [c8]Rui Cao, Stephen Charczynski, John Bladon, Marc W. Howard:
Time flies: Hippocampal time cells represent the distant past with less resolution. CogSci 2020 - 2019
- [c7]Zoran Tiganj, Nathanael Cruzado, Marc W. Howard:
Towards a neural-level cognitive architecture: modeling behavior in working memory tasks with neurons. CogSci 2019: 1118-1123 - [c6]Claudio A. Toro-Serey, Ian Bright, Brad Wyble, Marc W. Howard:
Rapid Presentation Rate Negatively Impacts the Contiguity Effect in Free Recall. CogSci 2019: 1131-1135 - [c5]Ian Bright, Rebecca DiDomenica, Rui Cao, Marc W. Howard:
The Effect of Multiple Repetitions on Scanning in Long-Term Memory. CogSci 2019: 3416 - 2017
- [c4]Zoran Tiganj, Karthik H. Shankar, Marc W. Howard:
Scale Invariant Value Computation for Reinforcement Learning in Continuous Time. AAAI Spring Symposia 2017 - [c3]Zoran Tiganj, Karthik H. Shankar, Marc W. Howard:
Neural and computational arguments for memory as a compressed supported timeline. CogSci 2017 - 2015
- [c2]Marc W. Howard, Karthik H. Shankar, Zoran Tiganj:
Efficient Neural Computation in the Laplace Domain. CoCo@NIPS 2015 - 2007
- [c1]Vinayak A. Rao, Marc W. Howard:
Retrieved context and the discovery of semantic structure. NIPS 2007: 1193-1200
Informal and Other Publications
- 2024
- [i8]Aakash Sarkar, Chenyu Wang, Shangfu Zuo, Marc W. Howard:
"What" x "When" working memory representations using Laplace Neural Manifolds. CoRR abs/2409.20484 (2024) - 2021
- [i7]Wei Zhong Goh, Varun Ursekar, Marc W. Howard:
Predicting the future with a scale-invariant temporal memory for the past. CoRR abs/2101.10953 (2021) - [i6]Brandon G. Jacques, Zoran Tiganj, Marc W. Howard, Per B. Sederberg:
DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales. CoRR abs/2104.04646 (2021) - [i5]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 abs/2107.04616 (2021) - 2019
- [i4]Aakash Sarkar, Marc W. Howard:
Scale-dependent Relationships in Natural Language. CoRR abs/1912.07506 (2019) - 2018
- [i3]Zoran Tiganj, Samuel J. Gershman, Per B. Sederberg, Marc W. Howard:
Estimating scale-invariant future in continuous time. CoRR abs/1802.06426 (2018) - 2017
- [i2]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 abs/1712.07165 (2017) - 2012
- [i1]Karthik H. Shankar, Marc W. Howard:
Optimally fuzzy scale-free memory. CoRR abs/1211.5189 (2012)
Coauthor Index
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