Fuzzy Control of Model-based Beta Band Power

2020 ◽  
Author(s):  
Hong Wang ◽  
Min Chen ◽  
Linlu Zu ◽  
Fei Su
Keyword(s):  
Fuzzy Control ◽  
Beta Band ◽  
Model Based ◽  
Band Power

scholarly journals Sensor-Level Wavelet Analysis Reveals EEG Biomarkers of Perceptual Decision-Making

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2461
Author(s):  
Alexander Kuc ◽  
Vadim V. Grubov ◽  
Vladimir A. Maksimenko ◽  
Natalia Shusharina ◽  
Alexander N. Pisarchik ◽  
...  
Keyword(s):  
Decision Making ◽  
Sensory Information ◽  
Stimulus Onset ◽  
Perceptual Process ◽  
Perceptual Decision Making ◽  
Beta Band ◽  
Perceptual Decision ◽  
Time Frequency ◽  
Band Power ◽  
Sensory Features

Perceptual decision-making requires transforming sensory information into decisions. An ambiguity of sensory input affects perceptual decisions inducing specific time-frequency patterns on EEG (electroencephalogram) signals. This paper uses a wavelet-based method to analyze how ambiguity affects EEG features during a perceptual decision-making task. We observe that parietal and temporal beta-band wavelet power monotonically increases throughout the perceptual process. Ambiguity induces high frontal beta-band power at 0.3–0.6 s post-stimulus onset. It may reflect the increasing reliance on the top-down mechanisms to facilitate accumulating decision-relevant sensory features. Finally, this study analyzes the perceptual process using mixed within-trial and within-subject design. First, we found significant percept-related changes in each subject and then test their significance at the group level. Thus, observed beta-band biomarkers are pronounced in single EEG trials and may serve as control commands for brain-computer interface (BCI).

Model-Based Fuzzy Control of a Gas Turbine Coupled with a Dynamometer

2018 ◽  
Vol 34 (5) ◽  
pp. 1178-1188 ◽  
Author(s):  
Afshin Banazadeh ◽  
Hossein Abdollahi Gol
Keyword(s):  
Fuzzy Control ◽  
Gas Turbine ◽  
Model Based

AUDITORY VERBAL HALLUCINATIONS ARE RELATED TO DECREASED BETA-BAND POWER IN THE ANTERIOR SUPERIOR FRONTAL GYRUS – AN MEG STUDY

2010 ◽  
Vol 117 (2-3) ◽  
pp. 475
Author(s):  
Remko Van Lutterveld ◽  
Arjan Hillebrand ◽  
Cornelis J. Stam ◽  
René S. Kahn ◽  
Iris E. Sommer
Keyword(s):  
Beta Band ◽  
Superior Frontal Gyrus ◽  
Auditory Verbal Hallucinations ◽  
Band Power

scholarly journals Model-based neuro-fuzzy control of FiO2 for intensive care mechanical ventilation

Critical Care ◽  
2001 ◽  
Vol 5 (Suppl 1) ◽  
pp. P002
Author(s):  
HF Kwok ◽  
GH Mills ◽  
M Mahfouf ◽  
DA Linkens
Keyword(s):  
Mechanical Ventilation ◽  
Intensive Care ◽  
Fuzzy Control ◽  
Model Based ◽  
Neuro Fuzzy

scholarly journals Beta-band desynchronization reflects uncertainty in effector selection during motor planning

2021 ◽  
Author(s):  
Milou J.L. van Helvert ◽  
Leonie Oostwoud Wijdenes ◽  
Linda Geerligs ◽  
W. Pieter Medendorp
Keyword(s):  
Time Window ◽  
Brain Activity ◽  
Motor Planning ◽  
Reaction Times ◽  
Motor Preparation ◽  
Motion Artifact ◽  
Theta Band ◽  
Beta Band ◽  
Target Uncertainty ◽  
Band Power

AbstractWhile beta-band activity during motor planning is known to be modulated by uncertainty about where to act, less is known about its modulations to uncertainty about how to act. To investigate this issue, we recorded oscillatory brain activity with EEG while human participants (n = 17) performed a hand choice reaching task. The reaching hand was either predetermined or of participants’ choice, and the target was close to one of the two hands or at about equal distance from both. To measure neural activity in a motion-artifact-free time window, the location of the upcoming target was cued 1000-1500 ms before the presentation of the target, whereby the cue was valid in 50% of trials. As evidence for motor planning during the cueing phase, behavioral observations showed that the cue affected later hand choice. Furthermore, reaction times were longer in the choice than in the predetermined trials, supporting the notion of a competitive process for hand selection. Modulations of beta-band power over central cortical regions, but not alpha-band or theta-band power, were in line with these observations. During the cueing period, reaches in predetermined trials were preceded by larger decreases in beta-band power than reaches in choice trials. Cue direction did not affect reaction times or beta-band power, which may be due to the cue being invalid in 50% of trials, retaining effector uncertainty during motor planning. Our findings suggest that effector uncertainty, similar to target uncertainty, selectively modulates beta-band power during motor planning.New & NoteworthyWhile reach-related beta-band power in central cortical areas is known to modulate with the number of potential targets, here we show, using a cueing paradigm, that the power in this frequency band, but not in the alpha or theta-band, is also modulated by the uncertainty of which hand to use. This finding supports the notion that multiple possible effector-specific actions can be specified in parallel up to the level of motor preparation.

Model Based Fuzzy Control

1997 ◽  
Author(s):  
Rainer Palm ◽  
Hans Hellendoorn ◽  
Dimiter Driankov
Keyword(s):  
Fuzzy Control ◽  
Model Based

scholarly journals Frequency-based Segregation of Syntactic and Semantic Unification during Online Sentence Level Language Comprehension

2015 ◽  
Vol 27 (11) ◽  
pp. 2095-2107 ◽  
Author(s):  
Marcel Bastiaansen ◽  
Peter Hagoort
Keyword(s):  
Language Comprehension ◽  
Syntactic Structure ◽  
Critical Word ◽  
Beta Band ◽  
Brain Areas ◽  
Oscillatory Dynamics ◽  
Band Power ◽  
Sentence Level ◽  
Word Onset ◽  
Semantic Unification

During sentence level language comprehension, semantic and syntactic unification are functionally distinct operations. Nevertheless, both recruit roughly the same brain areas (spatially overlapping networks in the left frontotemporal cortex) and happen at the same time (in the first few hundred milliseconds after word onset). We tested the hypothesis that semantic and syntactic unification are segregated by means of neuronal synchronization of the functionally relevant networks in different frequency ranges: gamma (40 Hz and up) for semantic unification and lower beta (10–20 Hz) for syntactic unification. EEG power changes were quantified as participants read either correct sentences, syntactically correct though meaningless sentences (syntactic prose), or sentences that did not contain any syntactic structure (random word lists). Other sentences contained either a semantic anomaly or a syntactic violation at a critical word in the sentence. Larger EEG gamma-band power was observed for semantically coherent than for semantically anomalous sentences. Similarly, beta-band power was larger for syntactically correct sentences than for incorrect ones. These results confirm the existence of a functional dissociation in EEG oscillatory dynamics during sentence level language comprehension that is compatible with the notion of a frequency-based segregation of syntactic and semantic unification.

Sign in / Sign up

Export Citation Format

Share Document