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Neurobiology of Learning and Memory
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August 29, 2024
A bio-inspired reinforcement learning model that accounts for fast adaptation after punishment
Eric Chalmers, Artur Luczak
Biological Cybernetics
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December 7, 2023
Four attributes of intelligence, a thousand questions
Matthieu Bardal, Eric Chalmers
Frontiers in Computational Neuroscience
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September 9, 2022
Combining backpropagation with Equilibrium Propagation to improve an Actor-Critic reinforcement learning framework
Yoshimasa Kubo, Eric Chalmers, Artur Luczak
Communicative & Integrative Biology
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January 23, 2023
Biologically-inspired neuronal adaptation improves learning in neural networks
Yoshimasa Kubo, Eric Chalmers, Artur Luczak
IEEE Transactions on Bio-Medical Engineering
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December 11, 2014
Human experts' and a fuzzy model's predictions of outcomes of scoliosis treatment: a comparative analysis
Eric Chalmers, Witold Pedrycz, Edmond Lou
Frontiers in Computational Neuroscience
|
December 27, 2016
Computational Properties of the Hippocampus Increase the Efficiency of Goal-Directed Foraging through Hierarchical Reinforcement Learning
Eric Chalmers, Artur Luczak, Aaron J Gruber
Scoliosis
|
March 28, 2015
Prescriptive analytics applied to brace treatment for AIS: a pilot demonstration
Eric Chalmers, Doug Hill, Vicky Zhao, et al.
Medical Engineering & Physics
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January 27, 2015
An advanced compliance monitor for patients undergoing brace treatment for idiopathic scoliosis
Eric Chalmers, Edmond Lou, Doug Hill, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
April 25, 2017
Learning to Predict Consequences as a Method of Knowledge Transfer in Reinforcement Learning
Eric Chalmers, Edgar Bermudez Contreras, Brandon Robertson, et al.
Gait & Posture
|
September 21, 2013
Inertial sensing algorithms for long-term foot angle monitoring for assessment of idiopathic toe-walking
Eric Chalmers, Jonathan Le, Dulai Sukhdeep, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 14) with videos related to
Sort By:
Page
of 2
Neurobiology of Learning and Memory
|
August 29, 2024
A bio-inspired reinforcement learning model that accounts for fast adaptation after punishment
Eric Chalmers, Artur Luczak
Biological Cybernetics
|
December 7, 2023
Four attributes of intelligence, a thousand questions
Matthieu Bardal, Eric Chalmers
Frontiers in Computational Neuroscience
|
September 9, 2022
Combining backpropagation with Equilibrium Propagation to improve an Actor-Critic reinforcement learning framework
Yoshimasa Kubo, Eric Chalmers, Artur Luczak
Communicative & Integrative Biology
|
January 23, 2023
Biologically-inspired neuronal adaptation improves learning in neural networks
Yoshimasa Kubo, Eric Chalmers, Artur Luczak
IEEE Transactions on Bio-Medical Engineering
|
December 11, 2014
Human experts' and a fuzzy model's predictions of outcomes of scoliosis treatment: a comparative analysis
Eric Chalmers, Witold Pedrycz, Edmond Lou
Frontiers in Computational Neuroscience
|
December 27, 2016
Computational Properties of the Hippocampus Increase the Efficiency of Goal-Directed Foraging through Hierarchical Reinforcement Learning
Eric Chalmers, Artur Luczak, Aaron J Gruber
Scoliosis
|
March 28, 2015
Prescriptive analytics applied to brace treatment for AIS: a pilot demonstration
Eric Chalmers, Doug Hill, Vicky Zhao, et al.
Medical Engineering & Physics
|
January 27, 2015
An advanced compliance monitor for patients undergoing brace treatment for idiopathic scoliosis
Eric Chalmers, Edmond Lou, Doug Hill, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
April 25, 2017
Learning to Predict Consequences as a Method of Knowledge Transfer in Reinforcement Learning
Eric Chalmers, Edgar Bermudez Contreras, Brandon Robertson, et al.
Gait & Posture
|
September 21, 2013
Inertial sensing algorithms for long-term foot angle monitoring for assessment of idiopathic toe-walking
Eric Chalmers, Jonathan Le, Dulai Sukhdeep, et al.
Page
of 2