Artur Luczak

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 13

Top Topics

Computational Properties

Predicting Future

Reinforcement Learning

Top Venues

Frontiers Comput. Neurosci.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Eric Chalmers, Artur Luczak
Reinforcement Learning with Brain-Inspired Modulation Improves Adaptation to Environmental Changes. ICAISC (1) (2023)
Eric Chalmers, Aaron J. Gruber, Artur Luczak
Hippocluster: An efficient, hippocampus-inspired algorithm for graph clustering. Inf. Sci. 639 (2023)
Eric Chalmers, Artur Luczak
Reinforcement Learning with Brain-Inspired Modulation can Improve Adaptation to Environmental Changes. CoRR (2022)
Artur Luczak, Bruce L. McNaughton, Yoshimasa Kubo
Neurons learn by predicting future activity. Nat. Mach. Intell. 4 (1) (2022)
Eric Chalmers, Artur Luczak
Hippocluster: an efficient, hippocampus-inspired algorithm for graph clustering. CoRR (2022)
Yoshimasa Kubo, Eric Chalmers, Artur Luczak
Biologically-inspired neuronal adaptation improves learning in neural networks. CoRR (2022)
Yoshimasa Kubo, Eric Chalmers, Artur Luczak
Combining backpropagation with Equilibrium Propagation to improve an Actor-Critic reinforcement learning framework. Frontiers Comput. Neurosci. 16 (2022)
Volodymyr Turchenko, Eric Chalmers, Artur Luczak
A Deep Convolutional Auto-encoder with Pooling - Unpooling Layers in Caffe. Int. J. Comput. 18 (2019)
Eric Chalmers, Edgar Bermudez Contreras, Brandon Robertson, Artur Luczak, Aaron J. Gruber
Learning to Predict Consequences as a Method of Knowledge Transfer in Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 29 (6) (2018)
Volodymyr Turchenko, Eric Chalmers, Artur Luczak
A Deep Convolutional Auto-Encoder with Pooling - Unpooling Layers in Caffe. CoRR (2017)
Volodymyr Turchenko, Artur Luczak
Creation of a deep convolutional auto-encoder in Caffe. IDAACS (2017)
Eric Chalmers, Edgar Bermudez Contreras, Brandon Robertson, Artur Luczak, Aaron J. Gruber
Context-switching and adaptation: Brain-inspired mechanisms for handling environmental changes. IJCNN (2016)
Eric Chalmers, Artur Luczak, Aaron J. Gruber
Computational Properties of the Hippocampus Increase the Efficiency of Goal-Directed Foraging through Hierarchical Reinforcement Learning. Frontiers Comput. Neurosci. 10 (2016)
Volodymyr Turchenko, Artur Luczak
Creation of a Deep Convolutional Auto-Encoder in Caffe. CoRR (2015)
Artur Luczak
Measuring Neuronal Branching Patterns Using Model-Based Approach. Frontiers Comput. Neurosci. 4 (2010)