10.7554/eLife.47142.001 The principles underlying the animacy organization of the ventral
temporal cortex (VTC) remain hotly debated, with recent evidence pointing to an animacy …

Recurrent neural networks (RNNs) have been shown to perform better than feedforward
architectures in visual object categorization tasks, especially in challenging conditions such as …

In this paper, we outline an approach to build graph-based reverse dictionaries using word
definitions. A reverse dictionary takes a phrase as an input and outputs a list of words …

Feature-based attention modulates visual processing beyond the focus of spatial attention.
Previous work has reported such spatially-global effects for low-level features such as color …

Capacity limitations in visual tasks can be observed when the number of task-related objects
increases. An influential idea is that such capacity limitations are determined by competition …

Visual search is facilitated by knowledge of the relationship between the target and the
distractors, including both where the target is likely to be among the distractors and how it differs …

According to theories of visual search, observers generate a visual representation of the
search target (the “attentional template”) that guides spatial attention toward target-like visual …

Unlike primates, training artificial neural networks on changing data distributions leads to a
rapid decrease in performance on old tasks. This phenomenon is commonly referred to as …

Continual learning (CL) algorithms strive to acquire new knowledge while preserving prior
information. However, this stability-plasticity trade-off remains a central challenge. This paper …

How does the brain control attention? The Attention Schema Theory suggests that the brain
constructs an internal model of attention for its control. However, it remains unclear under …