Sub-mm functional decoupling of electrocortical signals through closed-loop BMI learning

Sub-mm functional decoupling of electrocortical signals through closed-loop BMI learning

Volitional control of neural activity lies at the heart of the Brain-Machine Interface (BMI) paradigm. In this work we investigated if subdural field potentials recorded by electrodes

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Bibliographische Detailangaben
Veröffentlicht in:2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2013-01, Vol.2013, p.5622-5625
Hauptverfasser: Ledochowitsch, P., Koralek, A. C., Moses, D., Carmena, J. M., Maharbiz, M. M.
Format: Artikel
Sprache:eng
Schlagworte:
Animals
Artificial Intelligence
Behavior, Animal - physiology
Brain - physiopathology
Brain-Computer Interfaces
Electric Impedance
Electric potential
Electrodes, Implanted
Electroencephalography
Feedback
Impedance
Male
Microelectrodes
Motor Cortex - physiology
Platinum
Rats
Rats, Long-Evans
Signal Processing, Computer-Assisted - instrumentation
Sound
Subdural Space
Surface impedance
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Beschreibung
Zusammenfassung:Volitional control of neural activity lies at the heart of the Brain-Machine Interface (BMI) paradigm. In this work we investigated if subdural field potentials recorded by electrodes
ISSN:1094-687X
1557-170X
1558-4615
DOI:10.1109/EMBC.2013.6610825