Multivariate analyses of neural data have become increasingly influential in cognitive
neuroscience since they allow to address questions about the representational signatures of …

Deep convolutional neural networks (CNNs) for object acknowledgment have learned
portrayals that are all-around contemplated representation of handling progression in optical …

When we perceive a visual scene, we usually see an arrangement of multiple cluttered and
partly overlapping objects, like a park with trees and people in it. Spatial attention helps us to …

In typical listening environments, auditory signals arrive at the ear as a fusion of the direct
energy from sound sources and the indirect reflections via reverberation. The listener thus …

Celem badania była weryfikacja wpływu przewidywalności ekspozycji dźwięku w wymiarze
czasowym, przestrzennym i czasowo-przestrzennym na orientację uwagi słuchowej …