Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Vijay Aditya Tadipatri"'
Publikováno v:
Neuroscience. 329:201-212
To date, decoding accuracy of actual or imagined pointing movements to targets in 3D space from electroencephalographic (EEG) signals has remained modest. The reason may pertain to the fact that these movements activate essentially the same neural ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6639f919c2beca694d3cf95957156f43
https://doi.org/10.1016/j.neuroscience.2016.05.015
https://doi.org/10.1016/j.neuroscience.2016.05.015
Publikováno v:
IEEE transactions on bio-medical engineering. 64(2)
Long-term variability remains one of the major hurdles in using intracortical recordings like local field potentials for brain computer interfaces (BCI). Practical neural decoders need to overcome time instability of neural signals to estimate subjec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4fb3832a8df6700505cc99bed2ebb4a
https://pubmed.ncbi.nlm.nih.gov/27116730
https://pubmed.ncbi.nlm.nih.gov/27116730
Publikováno v:
ICASSP
Chronic effects of electrode implantation in the brain tissue alter the neural channel signal-to-noise ratio (SNR) over time. Variability of signal quality over time poses a difficult challenge in long-term decoding of neural signals for Brain Comput
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d209e9813d3e02c985f9de3dad09422
https://doi.org/10.1109/icassp.2015.7178092
https://doi.org/10.1109/icassp.2015.7178092
Publikováno v:
EMBC
Day to day variability and non-stationarity caused by changes in subject motivation, learning and behavior pose a challenge in using local field potentials (LFP) for practical Brain Computer Interfaces. Pattern recognition algorithms require that the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fa368ddd373079ee250325d1b29427b
https://pubmed.ncbi.nlm.nih.gov/25570288
https://pubmed.ncbi.nlm.nih.gov/25570288
Publikováno v:
ICASSP
One of the challenges in using intra-cortical recordings like Local Field Potentials for Brain Computer Interface (BCI) is their inherent day-to-day variability and non-stationarity caused by subject motivation and learning. Practical Brain Computer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bcf2777789a7f02d13c79cfcf71de2f
https://doi.org/10.1109/icassp.2014.6854736
https://doi.org/10.1109/icassp.2014.6854736
Publikováno v:
GlobalSIP
In this paper, we study a feedback mechanism in the design of a Local Field Potential (LFP) based Brain Computer Interface (BCI) that decodes arm movements. A major setback of using Local Field Potentials based BCI is their non-stationarity. In addit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c456952fe4138192ff441a6f6171ee31
https://doi.org/10.1109/globalsip.2013.6736801
https://doi.org/10.1109/globalsip.2013.6736801
Publikováno v:
EMBC
Local Field Potential (LFP) recordings are one type of intracortical recordings, (besides Single Unit Activity) that can help decode movement direction successfully. In the longterm however, using LFPs for decoding presents some major challenges like
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::688f0159f1f587493529ff71907b76fa
https://pubmed.ncbi.nlm.nih.gov/24109818
https://pubmed.ncbi.nlm.nih.gov/24109818
Publikováno v:
EMBC
A major drawback of using Local Field Potentials (LFP) for Brain Computer Interface (BCI) is their inherent instability and non-stationarity. Specifically, even when a well-trained subject performs the same task over a period of time, the neural data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::196a3626479d7844445da93c825849e1
https://pubmed.ncbi.nlm.nih.gov/23366958
https://pubmed.ncbi.nlm.nih.gov/23366958
Publikováno v:
2011 5th International IEEE/EMBS Conference on Neural Engineering.
A main disadvantage of using intra-cortical recordings for Brain Computer Interface (BCI) is their inherent non-stationarity and instability. Thus developing direction decoders for Local Field Potentials (LFP) that are robust over time becomes a diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bf7cf0f7d3564c1c81fcd49ef108874
https://doi.org/10.1109/ner.2011.5910569
https://doi.org/10.1109/ner.2011.5910569
Publikováno v:
ISBI
In Brain Machine Interface (BMI), movement direction can be decoded using intra-cortical recordings such as Local Field Potentials (LFP). Due to the natural instability and non-stationarity of these recordings, it is difficult to develop decoders tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d7f0e3c5c72df4aa4630aaa0659bce0
https://doi.org/10.1109/isbi.2011.5872764
https://doi.org/10.1109/isbi.2011.5872764