Browsing Institutt for teknisk kybernetikk by Journals "Lecture Notes in Computer Science (LNCS)"
Now showing items 1-2 of 2
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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 ... -
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 ...