Essays about: "Magnetoencephalography"

Found 4 essays containing the word Magnetoencephalography.

  1. 1. Feature extraction from MEG data using self-supervised learning : Investigating contrastive representation learning methods to f ind informative representations

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Wilhelm Ågren; [2022]
    Keywords : Machine learning; Deep learning; Self-supervised learning; Cluster analysis; SimCLR; Magnetoencephalography; Partial sleep deprivation; Wavelet transform; Maskininlärning; Djupinlärning; Självövervakad inlärning; Klusteranalys; SimCLR; Magnetoencefalografi; Delvis sömndeprivering; Wavelet transform;

    Abstract : Modern day society is vastly complex, with information and data constantly being posted, shared, and collected everywhere. There is often an abundance of massive amounts of unlabeled data that can not be leveraged in a supervised machine learning context. READ MORE

  3. 2. Analysing the Effect of Working Memory Training on Brain Networks Using MEG and Neuroimaging

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Jeanie Dawnbringer; [2022]
    Keywords : Brain networks; Magnetoencephalography; Working memory; Plasticity; Neuroimaging;

    Abstract : Introduction: The brain can change its structure and functionality as a result ofexternal factors. The working memory (WM) of the brain is where informationcan be held and manipulated during a short period of time, with the purpose ofachieving higher cognitive functions such as reasoning and learning. READ MORE

  4. 3. Analysis of Brain Signals from Patients with Parkinson’s Disease using Self-Supervised Learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Emma Lind; [2022]
    Keywords : Machine Learning; Self-supervised learning; Feature extraction; Parkinson’s Disease; Magnetoencephalography; Electroencephalogram; Maskininlärning; Självlärande inlärning; Särdragsextraktion; Parkinsons sjukdom; Magnetoencefalografi; Elektroencefalografi;

    Abstract : Parkinson’s disease (PD) is one of the most common neurodegenerative brain disorders, commonly diagnosed and monitored via clinical examinations, which can be imprecise and lead to a delayed or inaccurate diagnosis. Therefore, recent research has focused on finding biomarkers by analyzing brain networks’ neural activity to find abnormalities associated with PD pathology. READ MORE

  5. 4. Closed-Loop EEG BCI: VR and Electrical Stimulation to treat Neuropathic Pain

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Shreya Kohli; [2021]
    Keywords : ;

    Abstract : Chronic pain is a life-threatening disease affecting over 20% of theU.S. adult population as of 2016. It impacts the physical as well as emotional components of a human being significantly affecting a person’s quality of life. READ MORE