Eric Chalmers

20 papers B 1C 1Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
On the need for abstract, deep reinforcement learning models in neuroscience.
Frontiers Neuroinformatics
Santina Duarte, Xena Al-Hejji, Edgar Bermudez Contreras, Eric Chalmers
2025 J jnl
A model of how hierarchical representations constructed in the hippocampus are used to navigate through space.
Adapt. Behav.
Eric Chalmers, Matthieu Bardal, Robert J. McDonald, Edgar Bermudez Contreras
2024 J jnl
Simulated synapse loss induces depression-like behaviors in deep reinforcement learning.
Frontiers Comput. Neurosci.
Eric Chalmers, Santina Duarte, Xena Al-Hejji, Daniel Devoe, Aaron J. Gruber, Robert J. McDonald
2023 J jnl
Four attributes of intelligence, a thousand questions.
Biol. Cybern.
Matthieu Bardal, Eric Chalmers
2023 J jnl
Hippocluster: An efficient, hippocampus-inspired algorithm for graph clustering.
Inf. Sci.
Eric Chalmers, Aaron J. Gruber, Artur Luczak
2023 — conf
Reinforcement Learning with Brain-Inspired Modulation Improves Adaptation to Environmental Changes.
ICAISC (1)
Eric Chalmers, Artur Luczak
2022 J jnl
Biologically-inspired neuronal adaptation improves learning in neural networks.
CoRR
Yoshimasa Kubo, Eric Chalmers, Artur Luczak
2022 J jnl
Combining backpropagation with Equilibrium Propagation to improve an Actor-Critic reinforcement learning framework.
Frontiers Comput. Neurosci.
Yoshimasa Kubo, Eric Chalmers, Artur Luczak
2022 J jnl
Hippocluster: an efficient, hippocampus-inspired algorithm for graph clustering.
CoRR
Eric Chalmers, Artur Luczak
2022 J jnl
Reinforcement Learning with Brain-Inspired Modulation can Improve Adaptation to Environmental Changes.
CoRR
Eric Chalmers, Artur Luczak
2019 J jnl
A Deep Convolutional Auto-encoder with Pooling - Unpooling Layers in Caffe.
Int. J. Comput.
Volodymyr Turchenko, Eric Chalmers, Artur Luczak
2018 J jnl
Learning to Predict Consequences as a Method of Knowledge Transfer in Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Eric Chalmers, Edgar Bermudez Contreras, Brandon Robertson, Artur Luczak, Aaron J. Gruber
2018 C conf
Machine Learning with Certainty: A Requirement for Intelligent Process Automation.
ICMLA
Eric Chalmers
2017 J jnl
A Deep Convolutional Auto-Encoder with Pooling - Unpooling Layers in Caffe.
CoRR
Volodymyr Turchenko, Eric Chalmers, Artur Luczak
2016 J jnl
Computational Properties of the Hippocampus Increase the Efficiency of Goal-Directed Foraging through Hierarchical Reinforcement Learning.
Frontiers Comput. Neurosci.
Eric Chalmers, Artur Luczak, Aaron J. Gruber
2016 B conf
Context-switching and adaptation: Brain-inspired mechanisms for handling environmental changes.
IJCNN
Eric Chalmers, Edgar Bermudez Contreras, Brandon Robertson, Artur Luczak, Aaron J. Gruber
2015 J jnl
Human Experts' and a Fuzzy Model's Predictions of Outcomes of Scoliosis Treatment: A Comparative Analysis.
IEEE Trans. Biomed. Eng.
Eric Chalmers, Witold Pedrycz, Edmond Lou
2015 J jnl
Predicting success or failure of brace treatment for adolescents with idiopathic scoliosis.
Medical Biol. Eng. Comput.
Eric Chalmers, Lindsey Westover, Johith Jacob, Andreas Donauer, H. Vicky Zhao, Eric C. Parent, Marc J. Moreau, James K. Mahood, Douglas Hedden, Edmond Lou
2014 J jnl
Toward maximum-predictive-value classification.
Pattern Recognit.
Eric Chalmers, Marcin Mizianty, Eric C. Parent, Yan Yuan, Edmond Lou
2013 — conf
Predicting the outcome of brace treatment for scoliosis using conditional fuzzy clustering.
IFSA/NAFIPS
Eric Chalmers, Witold Pedrycz, Edmond Lou