Sökning: "structural connectivity"

Visar resultat 1 - 5 av 35 uppsatser innehållade orden structural connectivity.

  1. 1. Regression with Bayesian Confidence Propagating Neural Networks

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Sammanfattning : 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. LÄS MER

  3. 2. Identification of restoration hotspots in landscape-scale green infrastructure planning based on model-predicted connectivity forest

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Xiaoming Wang; [2023]
    Nyckelord :boreal forest; conservation; restoration; connectivity; green infrastructure; GIS; Sweden; Earth and Environmental Sciences;

    Sammanfattning : Boreal forest landscapes have undergone severe anthropogenic fragmentation and their enormous values concerning, e.g., ecosystem service, biodiversity and culture are hazarded. LÄS MER

  4. 3. Link Prediction Using Learnable Topology Augmentation

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Tori Leatherman; [2023]
    Nyckelord :Network Analysis; Inductive Link Prediction; Learnable Augmentation; Graph Neural Networks; Multilayer Perceptrons; Nätverksanalys; Induktiv Länkförutsägelse; Inlärningsbar Förstärkning; Grafiska Neurala Nätverk; Flerskiktsperceptroner;

    Sammanfattning : Link prediction is a crucial task in many downstream applications of graph machine learning. Graph Neural Networks (GNNs) are a prominent approach for transductive link prediction, where the aim is to predict missing links or connections only within the existing nodes of a given graph. LÄS MER

  5. 4. The Neural Correlates of Emotional Intelligence : A Systematic Review

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Anne Agnvall; Reza Unessi; [2023]
    Nyckelord :emotional intelligence; ability emotional intelligence; strategic emotional intelligence; experiential emotional intelligence; MSCEIT;

    Sammanfattning : Emotional intelligence (EI) lies at the intersection of emotion and cognition and is seen as beneficial to our relationships and well-being. Yet, there is a gap in knowledge regarding the neural correlates of EI. There are three prevailing models defining the psychological construct of EI, the trait model, the ability model, and the mixed model. LÄS MER

  7. 5. Impact of the autoencoder-based FINTA tractogram filtering method on brain networks in subjects with Mild Cognitive Impairment

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Teodor Pstrusiński; [2023]
    Nyckelord :Tractography; Autoencoder; diffusion MRI; Filtering; Graph; Connectome; Traktografi; Autoencoder; diffusions MRT; Filtrering; Graf; Konnektom;

    Sammanfattning : Diffusion Magnetic Resonance Imaging (dMRI) is a method for measuring molecular diffusion in biological tissue microstructure. This information can be used to predict the location and orientation of white matter fibers in the brain, a process known as tractography. LÄS MER