Brain–Machine Interfaces

Brain machine interfaces for personalized neurological diagnostics and therapy

PsycEXTRA Dataset ◽

10.1037/e573152011-014 ◽

2011 ◽

Author(s):

Karim Oweiss

Keyword(s):

Brain Machine Interfaces ◽

Diagnostics And Therapy

Download Full-text

Decoding upper limb kinematics from primary motor cortical representations for intracortical brain-machine interfaces

2021 9th International Winter Conference on Brain-Computer Interface (BCI) ◽

10.1109/bci51272.2021.9385349 ◽

2021 ◽

Author(s):

Min-Ki Kim ◽

Jeong-woo Sohn ◽

Sung-Phil Kim

Keyword(s):

Upper Limb ◽

Brain Machine Interfaces ◽

Limb Kinematics ◽

Motor Cortical ◽

Cortical Representations

Download Full-text

Brain-Machine Interfaces: Electrophysiological Challenges and Limitations

Critical Reviews in Biomedical Engineering ◽

10.1615/critrevbiomedeng.v39.i1.20 ◽

2011 ◽

Vol 39 (1) ◽

pp. 5-28 ◽

Cited By ~ 5

Author(s):

Mijail D. Serruya ◽

Bradley C. Lega ◽

Kareem Zaghloul

Keyword(s):

Brain Machine Interfaces

Download Full-text

Team decision theory and brain-machine interfaces

2011 5th International IEEE/EMBS Conference on Neural Engineering ◽

10.1109/ner.2011.5910621 ◽

2011 ◽

Cited By ~ 4

Author(s):

Sanggyun Kim ◽

Todd P. Coleman

Keyword(s):

Decision Theory ◽

Brain Machine Interfaces ◽

Team Decision Theory ◽

Team Decision

Download Full-text

Wireless testing of ink-jet printed mm-size gold implant antennas for Brain-Machine Interfaces

2014 IEEE Antennas and Propagation Society International Symposium (APSURSI) ◽

10.1109/aps.2014.6904809 ◽

2014 ◽

Cited By ~ 1

Author(s):

Elham Moradi ◽

Sara Amendola ◽

Toni Bjorninen ◽

Lauri Sydanheimo ◽

Leena Ukkonen ◽

...

Keyword(s):

Brain Machine Interfaces ◽

Wireless Testing ◽

Ink Jet

Download Full-text

Patient-specific contour-fitting sheet electrodes for electrocorticographic brain machine interfaces

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/embc.2014.6944798 ◽

2014 ◽

Author(s):

Masayuki Hirata ◽

Shayne Morris ◽

Hisato Sugata ◽

Kojiro Matsushita ◽

Takufumi Yanagisawa ◽

...

Keyword(s):

Patient Specific ◽

Brain Machine Interfaces ◽

Contour Fitting

Download Full-text

Exploring Cognition with Brain–Machine Interfaces

Annual Review of Psychology ◽

10.1146/annurev-psych-030221-030214 ◽

2022 ◽

Vol 73 (1) ◽

pp. 131-158

Author(s):

Richard A. Andersen ◽

Tyson Aflalo ◽

Luke Bashford ◽

David Bjånes ◽

Spencer Kellis

Keyword(s):

Posterior Parietal Cortex ◽

Sensory Information ◽

Movement Control ◽

Brain Machine Interfaces ◽

Motor Commands ◽

Cortical Motor ◽

Structured Representations ◽

Posterior Parietal ◽

Integration Planning ◽

Motor Actions

Traditional brain–machine interfaces decode cortical motor commands to control external devices. These commands are the product of higher-level cognitive processes, occurring across a network of brain areas, that integrate sensory information, plan upcoming motor actions, and monitor ongoing movements. We review cognitive signals recently discovered in the human posterior parietal cortex during neuroprosthetic clinical trials. These signals are consistent with small regions of cortex having a diverse role in cognitive aspects of movement control and body monitoring, including sensorimotor integration, planning, trajectory representation, somatosensation, action semantics, learning, and decision making. These variables are encoded within the same population of cells using structured representations that bind related sensory and motor variables, an architecture termed partially mixed selectivity. Diverse cognitive signals provide complementary information to traditional motor commands to enable more natural and intuitive control of external devices.

Download Full-text