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Št. zadetkov: 3
Individual differences in spatial working memory strategies differentially reflected in the engagement of control and default brain networks
Nina Purg, Aleksij Kraljič, Masih Rahmati, Youngsun T. Cho, Anka Slana, John D. Murray, Alan Anticevic, Grega Repovš
Izvirni znanstveni članek
Oznake: nevroznanost;funkcijsko magnetnoresonančno slikanje fMRI;delovni spomin;prostorski spomin;možgani;miselne predstave;medosebne razlike;neurosciences;functional magnetic resonance imaging fMRI;short term memory;spatial memory;brain;mental representations;individual differences;
Spatial locations can be encoded and maintained in working memory using different representations and strategies. Fine-grained representations provide detailed stimulus information, but are cognitively demanding and prone to inexactness. The uncertainty in fine-grained representations can be compens ...
Leto: 2024 Vir: Filozofska fakulteta (UL FF)
Reward and loss incentives improve spatial working memory by shaping trial-by-trial posterior frontoparietal signals
Youngsun T. Cho, Flora Moujaes, Charles H. Schleifer, Martina Starc, Jie Lisa Ji, Nicole Santamauro, Brendan D. Adkinson, Antonija Kolobaric, Morgan Flynn, John Harrison Krystal, John D. Murray, Grega Repovš, Alan Anticevic
Izvirni znanstveni članek
Oznake: nevroznanost;kognicija;motivacija;delovni spomin;prostorski spomin;nagrade;možgani;neurosciences;cognition;motivation;short term memory;spatial memory;rewards;brain;
Integrating motivational signals with cognition is critical for goal-directed activities. The mechanisms that link neural changes with motivated working memory continue to be understood. Here, we tested how externally cued and non-cued (internally represented) reward and loss impact spatial working ...
Leto: 2022 Vir: Filozofska fakulteta (UL FF)
QuNex recipes
Jure Demšar, Aleksij Kraljič, Andraž Matkovič, Samuel Brege, Lining Pan, Zailyn Tamayo, Clara Fonteneau, Markus Helmer, Jie Lisa Ji, Alan Anticevic, Cole Korponay, Melissa Salavrakos, Daniel Drucker, Matthew F. Glasser, Lisa D. Nickerson, Youngsun T. Cho, Grega Repovš
Izvirni znanstveni članek
Oznake: nevrološko slikanje;procesiranje podatkov;analiza podatkov;ponovljivost;neuroimaging;data processing;data analysis and reproducibility;
Preprocessing and analysis of neuroimaging data are technically demanding, often requiring a combination of multiple software tools, modality-specific pipelines, and extensive parameter tuning to match dataset characteristics. These complexities make it difficult to document workflows in sufficient ...
Leto: 2026 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Št. zadetkov: 3
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