[HTML][HTML] Machine learning based brain signal decoding for intelligent adaptive deep brain stimulation

T Merk, V Peterson, R Köhler, S Haufe… - Experimental …, 2022 - Elsevier
Sensing enabled implantable devices and next-generation neurotechnology allow real-time
adjustments of invasive neuromodulation. The identification of symptom and disease …

Decoding movement from electrocorticographic activity: a review

K Volkova, MA Lebedev, A Kaplan… - Frontiers in …, 2019 - frontiersin.org
Electrocorticography (ECoG) holds promise to provide efficient neuroprosthetic solutions for
people suffering from neurological disabilities. This recording technique combines adequate …

Dissociative and prioritized modeling of behaviorally relevant neural dynamics using recurrent neural networks

OG Sani, B Pesaran, MM Shanechi - Nature neuroscience, 2024 - nature.com
Understanding the dynamical transformation of neural activity to behavior requires new
capabilities to nonlinearly model, dissociate and prioritize behaviorally relevant neural …

Modeling behaviorally relevant neural dynamics enabled by preferential subspace identification

OG Sani, H Abbaspourazad, YT Wong, B Pesaran… - Nature …, 2021 - nature.com
Neural activity exhibits complex dynamics related to various brain functions, internal states
and behaviors. Understanding how neural dynamics explain specific measured behaviors …

Upper limb movements can be decoded from the time-domain of low-frequency EEG

P Ofner, A Schwarz, J Pereira, GR Müller-Putz - PloS one, 2017 - journals.plos.org
How neural correlates of movements are represented in the human brain is of ongoing
interest and has been researched with invasive and non-invasive methods. In this study, we …

Attempted arm and hand movements can be decoded from low-frequency EEG from persons with spinal cord injury

P Ofner, A Schwarz, J Pereira, D Wyss, R Wildburger… - Scientific reports, 2019 - nature.com
We show that persons with spinal cord injury (SCI) retain decodable neural correlates of
attempted arm and hand movements. We investigated hand open, palmar grasp, lateral …

Beta band oscillations in motor cortex reflect neural population signals that delay movement onset

P Khanna, JM Carmena - elife, 2017 - elifesciences.org
Motor cortical beta oscillations have been reported for decades, yet their behavioral
correlates remain unresolved. Some studies link beta oscillations to changes in underlying …

Recent advances and current trends in brain‐computer interface research and their applications

M Zabcikova, Z Koudelkova, R Jasek… - International Journal …, 2022 - Wiley Online Library
Brain‐computer interface (BCI) provides direct communication between the brain and an
external device. BCI systems have become a trendy field of research in recent years. These …

Multiscale low-dimensional motor cortical state dynamics predict naturalistic reach-and-grasp behavior

H Abbaspourazad, M Choudhury, YT Wong… - Nature …, 2021 - nature.com
Motor function depends on neural dynamics spanning multiple spatiotemporal scales of
population activity, from spiking of neurons to larger-scale local field potentials (LFP). How …

Applications of brain-computer interfaces to the control of robotic and prosthetic arms

M Vilela, LR Hochberg - Handbook of clinical neurology, 2020 - Elsevier
Brain-computer interfaces (BCIs) have the potential to improve the quality of life of
individuals with severe motor disabilities. BCIs capture the user's brain activity and translate …