Essays about: "Neural aktivitet"

Showing result 1 - 5 of 29 essays containing the words Neural aktivitet.

  1. 1. Regression with Bayesian Confidence Propagating Neural Networks

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

    Author : Raghav Rajendran Bongole; [2023]
    Keywords : Machine Learning; Neural Networks; Brain-like computing; Bayesian Confidence Propagating Neural Networks; Maskininlärning; neurala nätverk; hjärnliknande datorer; Bayesian Förtroendespridande neurala nätverk;

    Abstract : Bayesian Confidence Propagating Neural Networks (BCPNNs) are biologically inspired artificial neural networks. These networks have been modeled to account for brain-like aspects such as modular architecture, divisive normalization, sparse connectivity, and Hebbian learning. READ MORE

  3. 2. Analysis and modelling of grooming behaviour of mice

    University essay from KTH/Fysik

    Author : Wilhelm Sjöstedt; [2022]
    Keywords : Theoretical physics; Neuroscience; Embedded systems; Complex systems; Teoretisk fysik; Neurovetenskap; Inbyggda system; Komplexa system;

    Abstract : Mapping dynamical motion to neural brain activity is one of many challenges in the field of neuroscience. Further knowledge in this area could provide useful insights in fields such as medical treatment of brain disorders. READ MORE

  4. 3. Effects on the precision of a brain-computer interface when reducing the number of neural recordings used as input

    University essay from KTH/Datavetenskap

    Author : Oscar Knowles; Carl Peterson; [2022]
    Keywords : ;

    Abstract : A brain-computer interface (BCI) is a technology where electric activity from the brain is interpreted by a computer in order to perform a specific task. There exists various methods to record brain activity depending on if the recording devices are implanted under or over the scalp. READ MORE

  5. 4. 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

  6. 5. Impacts of Motif Quantity on Small-worldness in Networks

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

    Author : Anna Skantz; Solbritt Gateman; [2021]
    Keywords : ;

    Abstract : Neural networks in the brain are often modeled as random networks, but there has been research suggesting that they have small-world properties. Since small-worldness has been observed to be linked to brain functioning, it is important to explore the factors impacting this network structure. READ MORE