Browsing Institutt for teknisk kybernetikk by Journals "Lecture Notes in Computer Science (LNCS)"
Now showing items 1-5 of 5
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DYNLO: Enhancing Non-linear Regularized State Observer Brain Mapping Technique by Parameter Estimation with Extended Kalman Filter
(Journal article; Peer reviewed, 2019)The underlying activity in the brain can be estimated using methods based on discrete physiological models of the neural activity. These models involve parameters for weighting the estimated source activity of previous ... -
Hellinger Metrics for Validating High Fidelity Simulators Using Target Tracking
(Journal article; Peer reviewed, 2023)To achieve autonomy at sea, it is believed simulations will be essential in testing, analysing and verifying autonomous systems due to the scarcity and high cost of obtaining real data for all relevant scenarios. This ... -
Searching for Unique Neural Descriptors of Primary Colours in EEG Signals: A Classification Study
(Peer reviewed; Journal article, 2021)Identifying unique descriptors for primary colours in EEG signals will open the way to Brain-Computer Interface (BCI) systems that can control devices by exposure to primary colours. This study is aimed to identify such ... -
Task-driven Compression for Collision Encoding based on Depth Images
(Peer reviewed; Journal article, 2023)This paper contributes a novel learning-based method for aggressive task-driven compression of depth images and their encoding as images tailored to collision prediction for robotic systems. A novel 3D image processing ... -
Viewing Rate-Based Neurons as Biophysical Conductance Outputting Models
(Journal article; Peer reviewed, 2019)In the field of computational neuroscience, spiking neural network models are generally preferred over rate-based models due to their ability to model biological dynamics. Within AI, rate-based artificial neural networks ...