Artur Luczak

Orcid: 0000-0002-4929-5781

According to our database1, Artur Luczak authored at least 13 papers between 2010 and 2023.

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

Timeline

Legend:

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Links

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Bibliography

2023
Hippocluster: An efficient, hippocampus-inspired algorithm for graph clustering.
Inf. Sci., August, 2023

Reinforcement Learning with Brain-Inspired Modulation Improves Adaptation to Environmental Changes.
Proceedings of the Artificial Intelligence and Soft Computing, 2023

2022
Neurons learn by predicting future activity.
Nat. Mach. Intell., 2022

Combining backpropagation with Equilibrium Propagation to improve an Actor-Critic reinforcement learning framework.
Frontiers Comput. Neurosci., 2022

Hippocluster: an efficient, hippocampus-inspired algorithm for graph clustering.
CoRR, 2022

Reinforcement Learning with Brain-Inspired Modulation can Improve Adaptation to Environmental Changes.
CoRR, 2022

Biologically-inspired neuronal adaptation improves learning in neural networks.
CoRR, 2022

2019
A Deep Convolutional Auto-encoder with Pooling - Unpooling Layers in Caffe.
Int. J. Comput., 2019

2018
Learning to Predict Consequences as a Method of Knowledge Transfer in Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., 2018

2017
Creation of a deep convolutional auto-encoder in Caffe.
Proceedings of the 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2017

2016
Computational Properties of the Hippocampus Increase the Efficiency of Goal-Directed Foraging through Hierarchical Reinforcement Learning.
Frontiers Comput. Neurosci., 2016

Context-switching and adaptation: Brain-inspired mechanisms for handling environmental changes.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2010
Measuring Neuronal Branching Patterns Using Model-Based Approach.
Frontiers Comput. Neurosci., 2010


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