Zoran Tiganj

According to our database1, Zoran Tiganj authored at least 17 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Curriculum Learning With Infant Egocentric Videos.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Characterizing neural activity in cognitively inspired RL agents during an evidence accumulation task.
Proceedings of the International Joint Conference on Neural Networks, 2023

Representing Latent Dimensions Using Compressed Number Lines.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
A deep convolutional neural network that is invariant to time rescaling.
Proceedings of the International Conference on Machine Learning, 2022

2021
SITHCon: A neural network robust to variations in input scaling on the time dimension.
CoRR, 2021

DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales.
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.
Proceedings of the 43th Annual Meeting of the Cognitive Science Society, 2021

2019
Estimating Scale-Invariant Future in Continuous Time.
Neural Comput., 2019

Towards a neural-level cognitive architecture: modeling behavior in working memory tasks with neurons.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018
Compressed Timeline of Recent Experience in Monkey Lateral Prefrontal Cortex.
J. Cogn. Neurosci., 2018

2017
Neural and computational arguments for memory as a compressed supported timeline.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Scale Invariant Value Computation for Reinforcement Learning in Continuous Time.
Proceedings of the 2017 AAAI Spring Symposia, 2017

2015
Efficient Neural Computation in the Laplace Domain.
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

2014
Influence of extracellular oscillations on neural communication: a computational perspective.
Frontiers Comput. Neurosci., 2014

2011
On the pertinence of a numerical transmission model for neural information.
PhD thesis, 2011

Deflation technique for neural spike sorting in multi-channel recordings.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

2009
Spike Detection and Sorting: Combining Algebraic Differentiations with ICA.
Proceedings of the Independent Component Analysis and Signal Separation, 2009


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