In an article in N1 Slovenia, you can read about research on the therapeutic effects of psychedelics in the treatment of mental disorders. One of the interviewees in the article is the head of our lab, Prof. Dr. Grega Repovš.
V prispevku v N1 Slovenija si lahko preberete o raziskovanju terapevtskih učinkov psihedelikov v zdravljenu duševnih motenj. Med sogovorniki v prispevku je tudi vodja našega laboratorija, prof. dr. Grega Repovš.
V sredo, 1.2.2023, je potekala Alumniteka na temo, 𝗸𝗮𝗸𝗼 𝘀𝗽𝗶𝗺𝗼 𝗶𝗻 𝘀𝗮𝗻𝗷𝗮𝗺𝗼 𝗹𝗷𝘂𝗱𝗷𝗲 𝘁𝗲𝗿 𝗸𝗮𝗸𝗼 𝘇̌𝗶𝘃𝗮𝗹𝗶. Na okrogli mizi je sodelovala tudi članica laboratorija 𝗮𝘀𝗶𝘀𝘁. 𝗱𝗿. 𝗡𝗶𝗻𝗮 𝗣𝘂𝗿𝗴. Audio posnetek celotnega pogovora je dostopen na Spotify. Vabljeni k poslušanju!
We published a paper in Frontiers in Neuroimaging with a title autohrf-an R package for generating data-informed event models for general linear modeling of task-based fMRI data. The paper presents an original package for the R programming language that allows the evaluation of linear models and the automatic calculation of
V Frontiers in Neuroimaging smo objavili članek z naslovom autohrf-an R package for generating data-informed event models for general linear modeling of task-based fMRI data. Članek predstavlja izviren paket orodij za programski jezik R, ki omogoča evalvacijo linearnih modelov in avtomatični izračun prediktorjev v modelu na podlagi izmerjenih fMR podatkov.
Vodja laboratorija, prof. dr. Grega Repovš, ja nastopil v oddaji Ugriznimo znanost na RTVSLO ter pojasnil namen in delovanje naših refleksov. Celoten posnetek oddaje je dostopen v spletnem arhivu RTVSLO. Vabljeni k ogledu!
V Frontiers in Neuroimaging je izšel članek z naslovom Deep learning in neuroimaging data analysis: Applications, challenges, and solutions pod avtorstvom Leva Kiara Avberška in Grege Repovša. Članek podaja pregled uporabe globokega učenja kot oblike strojnega učenja v analizi nevroslikovnih podatkov. Članek je dostopen na spletni strani revije Frontiers in
The paper entitled Deep learning in neuroimaging data analysis: Applications, challenges, and solutions by Lev Kiar Avberšek and Grega Repovš has been published in Frontiers in Neuroimaging. The paper provides an overview of the use of deep learning as a form of machine learning in the analysis of neuroimaging data.
Brain activity data inferred from functional MR images (fMRI) are stored in a huge voxel space when acquired, resulting in heavy computational operations and cumbersome data analysis, if no other data reduction approaches are applied. The first common approach to data reduction is to project cortical brain activity onto a
The Cambridge University Press has recently published the book The Cambridge Handbook of Working Memory and Language, which includes the chapter The Cognitive Neuroscience of Working Memory and Language written by Nina Purg, Anka Slana Ozimič and Grega Repovš. The book is a result of the collaboration of many established