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Št. zadetkov: 30
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;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
Video in druga učna gradiva
Oznake: computer science;speech analysis
This paper evaluates the use of prior knowledge to limit or bias the choices of a classifer during otherwise unsupervised training and classifcation. Focusing on effects in the uncertainty of the model's decisions, we quantify the contributions of the knowledge source as a reduction in the conditio ...
Leto: 2008 Vir: videolectures.net
Št. zadetkov: 30
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