The potential of stereotactic-EEG for brain-computer interfaces: current progress and future directions

C Herff, DJ Krusienski, P Kubben - Frontiers in neuroscience, 2020 - frontiersin.org
Stereotactic electroencephalogaphy (sEEG) utilizes localized, penetrating depth electrodes
to measure electrophysiological brain activity. It is most commonly used in the identification …

[HTML][HTML] Brain neuroplasticity leveraging virtual reality and brain–computer interface technologies

A Drigas, A Sideraki - Sensors, 2024 - mdpi.com
This study explores neuroplasticity through the use of virtual reality (VR) and brain–
computer interfaces (BCIs). Neuroplasticity is the brain's ability to reorganize itself by forming …

A closed-loop, music-based brain-computer interface for emotion mediation

SK Ehrlich, KR Agres, C Guan, G Cheng - PloS one, 2019 - journals.plos.org
Emotions play a critical role in rational and intelligent behavior; a better fundamental
knowledge of them is indispensable for understanding higher order brain function. We …

Brain–computer interfaces for dissecting cognitive processes underlying sensorimotor control

MD Golub, SM Chase, AP Batista, MY Byron - Current opinion in …, 2016 - Elsevier
Sensorimotor control engages cognitive processes such as prediction, learning, and
multisensory integration. Understanding the neural mechanisms underlying these cognitive …

Direct electrical stimulation in electrocorticographic brain–computer interfaces: Enabling technologies for input to cortex

DJ Caldwell, JG Ojemann, RPN Rao - Frontiers in Neuroscience, 2019 - frontiersin.org
Electrocorticographic brain computer interfaces (ECoG-BCIs) offer tremendous opportunities
for restoring function in individuals suffering from neurological damage and for advancing …

A bidirectional brain-machine interface featuring a neuromorphic hardware decoder

F Boi, T Moraitis, V De Feo, F Diotalevi… - Frontiers in …, 2016 - frontiersin.org
Bidirectional brain-machine interfaces (BMIs) establish a two-way direct communication link
between the brain and the external world. A decoder translates recorded neural activity into …

[HTML][HTML] Computing arm movements with a monkey brainet

A Ramakrishnan, PJ Ifft, M Pais-Vieira, YW Byun… - Scientific Reports, 2015 - nature.com
Traditionally, brain-machine interfaces (BMIs) extract motor commands from a single brain to
control the movements of artificial devices. Here, we introduce a Brainet that utilizes very …

Towards neural co-processors for the brain: combining decoding and encoding in brain–computer interfaces

RPN Rao - Current opinion in neurobiology, 2019 - Elsevier
Highlights•Bidirectional brain–computer interfaces (BBCIs) combine neural decoding and
encoding within a single neuroprosthetic device.•BBCIs have been used to control prosthetic …

Using matrix and tensor factorizations for the single-trial analysis of population spike trains

A Onken, JK Liu, PPCR Karunasekara… - PLoS computational …, 2016 - journals.plos.org
Advances in neuronal recording techniques are leading to ever larger numbers of
simultaneously monitored neurons. This poses the important analytical challenge of how to …

Cyborgs and enhancement technology

W Barfield, A Williams - Philosophies, 2017 - mdpi.com
As we move deeper into the twenty-first century there is a major trend to enhance the body
with “cyborg technology”. In fact, due to medical necessity, there are currently millions of …