Decoding inner speech using electrocorticography: Progress and challenges toward a speech prosthesis

S Martin, I Iturrate, JR Millán, RT Knight… - Frontiers in …, 2018 - frontiersin.org
Certain brain disorders resulting from brainstem infarcts, traumatic brain injury, cerebral
palsy, stroke, and amyotrophic lateral sclerosis, limit verbal communication despite the …

Neuroprosthetic technology for individuals with spinal cord injury

JL Collinger, S Foldes, TM Bruns… - The journal of spinal …, 2013 - Taylor & Francis
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 …

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 …

Histological evaluation of a chronically-implanted electrocorticographic electrode grid in a non-human primate

AD Degenhart, J Eles, R Dum, JL Mischel… - Journal of neural …, 2016 - iopscience.iop.org
Objective. Electrocorticography (ECoG), used as a neural recording modality for brain-
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

S Martin, JR Millán, RT Knight, BN Pasley - Brain and language, 2019 - Elsevier
Decoding speech from intracranial recordings serves two main purposes: understanding the
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 …

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 …

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) …

Proceedings of the fifth international workshop on advances in electrocorticography

A Ritaccio, P Brunner, A Gunduz, D Hermes… - Epilepsy & Behavior, 2014 - Elsevier
Abstract The Fifth International Workshop on Advances in Electrocorticography convened in
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 …