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Encoder-decoder optimization for brain-computer interfaces

author

Liam Paninski

1978 -

published in: PLOS Computational Biology

date of publication: 2015-06

language: English

main subject: brain

Cites articles 38

Date

Title

Authors

2014-08-01

Neural constraints on learning

Elizabeth C Tyler-Kabara, Kristin M. Quick, Matthew D Golub, Steven M. Chase, Aaron Batista
2014-04-09

Motor cortical control of movement speed with implications for brain-machine interface control

Matthew D Golub, Steven M. Chase
2014-02-06

Self-recalibrating classifiers for intracortical brain-computer interfaces
2014-11-19

Combining decoder design and neural adaptation in brain-machine interfaces
2014-06-01

Closed-loop decoder adaptation shapes neural plasticity for skillful neuroprosthetic control

Amy Orsborn
2014-02-15

A reductionist approach to the analysis of learning in brain-computer interfaces

Zachary C Danziger
2014-06-12

Continuous closed-loop decoder adaptation with a recursive maximum likelihood algorithm allows for rapid performance acquisition in brain-machine interfaces

Amy Orsborn
2013-02-14

Volitional control of neural activity relies on the natural motor repertoire
2013-06-18

Dynamic analysis of naive adaptive brain-machine interfaces.
2012

The body-machine interface: a new perspective on an old theme

Ferdinando A Mussa-Ivaldi
2012-11-01

Efficient coding of spatial information in the primate retina

Liam Paninski, Eero Simoncelli, Jonathon Shlens, E. J. Chichilnisky, Jeffrey L Gauthier, Eizaburo Doi, Greg D. Field, Martin Greschner, Alan M. Litke, Timothy A Machado, Lauren H Jepson, Deborah E Gunning, Keith Mathieson
2012-11-18

A high-performance neural prosthesis enabled by control algorithm design

Matthew T. Kaufman
2012-07-01

Neural population dynamics during reaching
2012-04-11

Behavioral and neural correlates of visuomotor adaptation observed through a brain-computer interface in primary motor cortex

Steven M. Chase
2012-11-13

Stochastic optimal control as a theory of brain-machine interface operation
2012-01-01

A brain machine interface control algorithm designed from a feedback control perspective
2011-09-15

Adaptive decoding for brain-machine interfaces through Bayesian parameter updates

Joseph E. O'Doherty, Miguel Nicolelis, Mikhail A Lebedev
2011-06-09

Interfacing with the computational brain

Andrew Jackson
2011-04-17

Reversible large-scale modification of cortical networks during neuroprosthetic control

Joni Wallis
2011-04-07

Using the electrocorticographic speech network to control a brain-computer interface in humans

Jarod L. Roland, Gerwin Schalk
2011-06-01

Body machine interface: remapping motor skills after spinal cord injury
2011-07-06

Characterization of minimum error linear coding with sensory and neural noise

Eizaburo Doi
2010-12-20

Learning to move machines with the mind
2010-11-15

Efficient decoding with steady-state Kalman filter in neural interface systems

Emery Brown
2010-10-13

A closed-loop human simulator for investigating the role of feedback control in brain-machine interfaces
2009-07-21

Emergence of a stable cortical map for neuroprosthetic control
2009-02-06

Learning algorithms for human-machine interfaces

Zachary C Danziger, Ferdinando A Mussa-Ivaldi
2009-11-11

Comparison of brain-computer interface decoding algorithms in open-loop and closed-loop control.

Steven M. Chase
2009-01-01

Coadaptive brain-machine interface via reinforcement learning
2008-12-01

Functional network reorganization during learning in a brain-computer interface paradigm

Steven M. Chase
2008-11-18

Neural control of computer cursor velocity by decoding motor cortical spiking activity in humans with tetraplegia

Leigh R. Hochberg
2007-02-01

Robust coding over noisy overcomplete channels.

Eizaburo Doi

Article - wd:Q27318780

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