Št. zadetkov: 37
Izvirni znanstveni članek
Oznake:
funkcijska konektivnost;merjenje;možgani;funkcijsko magnetnoresonančno slikanje fMRI;nevroznanost;nevronske mreže;functional connectivity;measurement;brain;functional magnetic resonance imaging fMRI;neurosciences;neural networks;
Functional connectivity (FC) of blood-oxygen-level-dependent (BOLD) fMRI time series can be estimated using methods that differ in sensitivity to the temporal order of time points (static vs. dynamic) and the number of regions considered in estimating a single edge (bivariate vs. multivariate). Prev ...
Leto:
2023
Vir:
Filozofska fakulteta (UL FF)
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)
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)
Video in druga učna gradiva
Oznake:
computer science;machine learning
How can we represent data on a computer and use it to learn to perform
useful tasks? This lecture reviews some simple classification and
regression rules, discusses under- and over-fitting and emphasises the
utility of defining objective functions for learning. There is also a
short overview of Baye ...
Leto:
2010
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;gaussian processes
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;monte carlo methods;mathematics;statistics
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
mathematics;statistics;computer science;machine learning;monte carlo methods;gaussian processes
The Gaussian process (GP) is a popular way to specify dependencies between random variables in a probabilistic model. In the Bayesian framework the covariance structure can be specified using unknown hyperparameters. Integrating over these hyperparameters considers different possible explanations fo ...
Leto:
2010
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;monte carlo methods;markov processes
We consider the design of Markov chain Monte Carlo (MCMC) methods for large-scale, distributed,
heterogeneous compute facilities, with a focus on synthesising sample sets across multiple runs
performed in parallel. While theory suggests that many independent Markov chains may be run
and their sample ...
Leto:
2010
Vir:
videolectures.net
Ni določena
Oznake:
blagovne znamke;upravljanje proizvodnje;operativni management;človeška kultura;čustva;prodaja na drobno;elektronsko poslovanje;marketing;trženje;potrošnik;konkurenčnost;psihologija potrošnika;
Brand storm : a tale of passion, betrayal and revenge
Leto:
2000
Vir:
Ekonomsko-poslovna fakulteta (UM EPF)
Video in druga učna gradiva
Oznake:
medicine;neuroscience;psychiatry;biology;social sciences;psychology
The development of drug dependence relies heavily on an aberrant learning history. Initially, the experience of the drug itself is linked with environmental cues through a process of Pavlovian conditioning. The unconditioned drug stimulus becomes associated with conditioned stimuli that can then com ...
Leto:
2015
Vir:
videolectures.net