Steven M. Chase

Orcid: 0000-0003-4450-6313

According to our database1, Steven M. Chase authored at least 14 papers between 2009 and 2023.

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Bibliography

2023
Dimensionality reduction of calcium-imaged neuronal population activity.
Nat. Comput. Sci., 2023

2019
Neural manifolds: from basic science to practical improvements in brain-computer intefaces.
Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019

2018
Optimizing the Usability of Brain-Computer Interfaces.
Neural Comput., 2018

2016
A control-theoretic approach to brain-computer interface design.
Proceedings of the 2016 American Control Conference, 2016

2015
Recasting brain-machine interface design from a physical control system perspective.
J. Comput. Neurosci., 2015

2014
Neural constraints on learning.
Nat., 2014

2013
Learning an Internal Dynamics Model from Control Demonstration.
Proceedings of the 30th International Conference on Machine Learning, 2013

A stabilized dual Kalman filter for adaptive tracking of brain-computer interface decoding parameters.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Direction and speed tuning of motor-cortex multi-unit activity and local field potentials during reaching movements.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Bayesian learning in assisted brain-computer interface tasks.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Internal models engaged by brain-computer interface control.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2010
Comparison of brain-computer interface decoding algorithms in open-loop and closed-loop control.
J. Comput. Neurosci., 2010

2009
Bias, optimal linear estimation, and the differences between open-loop simulation and closed-loop performance of spiking-based brain-computer interface algorithms.
Neural Networks, 2009

Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009


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