Decoding inner speech using electrocorticography: Progress and challenges toward a speech prosthesis
Certain brain disorders resulting from brainstem infarcts, traumatic brain injury, cerebral
palsy, stroke, and amyotrophic lateral sclerosis, limit verbal communication despite the …
palsy, stroke, and amyotrophic lateral sclerosis, limit verbal communication despite the …
Neuroprosthetic technology for individuals with spinal cord injury
Context Spinal cord injury (SCI) results in a loss of function and sensation below the level of
the lesion. Neuroprosthetic technology has been developed to help restore motor and …
the lesion. Neuroprosthetic technology has been developed to help restore motor and …
An electrocorticographic brain interface in an individual with tetraplegia
W Wang, JL Collinger, AD Degenhart… - PloS one, 2013 - journals.plos.org
Brain-computer interface (BCI) technology aims to help individuals with disability to control
assistive devices and reanimate paralyzed limbs. Our study investigated the feasibility of an …
assistive devices and reanimate paralyzed limbs. Our study investigated the feasibility of an …
Histological evaluation of a chronically-implanted electrocorticographic electrode grid in a non-human primate
Objective. Electrocorticography (ECoG), used as a neural recording modality for brain-
machine interfaces (BMIs), potentially allows for field potentials to be recorded from the …
machine interfaces (BMIs), potentially allows for field potentials to be recorded from the …
The use of intracranial recordings to decode human language: Challenges and opportunities
Decoding speech from intracranial recordings serves two main purposes: understanding the
neural correlates of speech processing and decoding speech features for targeting speech …
neural correlates of speech processing and decoding speech features for targeting speech …
Comparing temporal aspects of visual, tactile, and microstimulation feedback for motor control
JM Godlove, EO Whaite, AP Batista - Journal of neural …, 2014 - iopscience.iop.org
Objectives. Current brain− computer interfaces (BCIs) rely on visual feedback, requiring
sustained visual attention to use the device. Improvements to BCIs may stem from the …
sustained visual attention to use the device. Improvements to BCIs may stem from the …
Decoding continuous limb movements from high-density epidural electrode arrays using custom spatial filters
AR Marathe, DM Taylor - Journal of neural engineering, 2013 - iopscience.iop.org
Objective. Our goal was to identify spatial filtering methods that would improve decoding of
continuous arm movements from epidural field potentials as well as demonstrate the use of …
continuous arm movements from epidural field potentials as well as demonstrate the use of …
Switching Markov decoders for asynchronous trajectory reconstruction from ECoG signals in monkeys for BCI applications
MC Schaeffer, T Aksenova - Journal of Physiology-Paris, 2016 - Elsevier
Abstract Brain-Computer Interfaces (BCIs) are systems which translate brain neural activity
into commands for external devices. BCI users generally alternate between No-Control (NC) …
into commands for external devices. BCI users generally alternate between No-Control (NC) …
Proceedings of the fifth international workshop on advances in electrocorticography
Abstract The Fifth International Workshop on Advances in Electrocorticography convened in
San Diego, CA, on November 7–8, 2013. Advancements in methodology, implementation …
San Diego, CA, on November 7–8, 2013. Advancements in methodology, implementation …
Data-driven transducer design and identification for internally-paced motor brain computer interfaces: a review
MC Schaeffer, T Aksenova - Frontiers in neuroscience, 2018 - frontiersin.org
Brain-Computer Interfaces (BCIs) are systems that establish a direct communication
pathway between the users' brain activity and external effectors. They offer the potential to …
pathway between the users' brain activity and external effectors. They offer the potential to …