Deep learning and predictive coding architectures commonly assume that inference in
neural networks is hierarchical. However, largely neglected in deep learning and predictive …

Concepts shape the interpretation of facts. One of the most popular concepts in systems
neuroscience is that of 'hierarchy'. However, this concept has been interpreted in many …

The rapid and efficient selection of emotionally salient or goal-relevant stimuli in the
environment is crucial for flexible and adaptive behaviors. Converging data from …

We see the world in scenes, where visual objects occur in rich surroundings, often
embedded in a typical context with other related objects. How does the human brain analyse …

Cortical analysis related to visual object recognition is traditionally thought to propagate
serially along a bottom-up hierarchy of ventral areas. Recent proposals gradually promote …

The majority of the research related to visual recognition has so far focused on bottom-up
analysis, where the input is processed in a cascade of cortical regions that analyze …

Areas V1 and V2 of the visual cortex have traditionally been conceived as stages of local
feature representations. We investigated whether neural responses carry information about …

The brain is a highly modular structure. To exploit modularity, it is necessary that spiking
activity can propagate from one module to another while preserving the information it …

We examined fluctuations in band-limited power (BLP) of local field potential (LFP) signals
recorded from multiple electrodes in visual cortex of the monkey during different behavioral …

The two contrasting theoretical approaches to visual perception, the constructivist and the
ecological, are briefly presented and illustrated through their analyses of space and size …