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Zoran Tiganj
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2020 – today
- 2023
- [c13]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 - [c12]James Mochizuki-Freeman, Sahaj Singh Maini, Zoran Tiganj:
Characterizing neural activity in cognitively inspired RL agents during an evidence accumulation task. IJCNN 2023: 1-9 - [c11]Saber Sheybani, Himanshu Hansaria, Justin Wood, Linda B. Smith, Zoran Tiganj:
Curriculum Learning With Infant Egocentric Videos. NeurIPS 2023 - 2022
- [c10]Sahaj Singh Maini, Louis Francis Labuzienski, Saurabh Gulati, Zoran Tiganj:
Comparing Impact of Time Lag and Item Lag in Relative Judgment of Recency. CogSci 2022 - [c9]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
- [c8]Zoran Tiganj, Wei Tang, Marc W. Howard:
A computational model for simulating the future using a memory timeline. CogSci 2021 - [c7]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 - [i3]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) - [i2]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)
2010 – 2019
- 2019
- [j3]Zoran Tiganj, Samuel J. Gershman, Per B. Sederberg, Marc W. Howard:
Estimating Scale-Invariant Future in Continuous Time. Neural Comput. 31(4) (2019) - [c6]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 - 2018
- [j2]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) - [i1]Zoran Tiganj, Samuel J. Gershman, Per B. Sederberg, Marc W. Howard:
Estimating scale-invariant future in continuous time. CoRR abs/1802.06426 (2018) - 2017
- [c5]Zoran Tiganj, Karthik H. Shankar, Marc W. Howard:
Scale Invariant Value Computation for Reinforcement Learning in Continuous Time. AAAI Spring Symposia 2017 - [c4]Zoran Tiganj, Karthik H. Shankar, Marc W. Howard:
Neural and computational arguments for memory as a compressed supported timeline. CogSci 2017 - 2015
- [c3]Marc W. Howard, Karthik H. Shankar, Zoran Tiganj:
Efficient Neural Computation in the Laplace Domain. CoCo@NIPS 2015 - 2014
- [j1]Zoran Tiganj, Sylvain Chevallier
, Éric Monacelli:
Influence of extracellular oscillations on neural communication: a computational perspective. Frontiers Comput. Neurosci. 8: 9 (2014) - 2011
- [b1]Zoran Tiganj:
On the pertinence of a numerical transmission model for neural information. Lille University of Science and Technology, France, 2011 - [c2]Zoran Tiganj, Mamadou Mboup:
Deflation technique for neural spike sorting in multi-channel recordings. MLSP 2011: 1-6
2000 – 2009
- 2009
- [c1]Zoran Tiganj, Mamadou Mboup:
Spike Detection and Sorting: Combining Algebraic Differentiations with ICA. ICA 2009: 475-482
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