Visual categorization is thought to occur in the human ventral temporal cortex (VTC), but
how this categorization is achieved is still largely unknown. In this Review, we consider the …

Since the original characterization of the ventral visual pathway, our knowledge of its
neuroanatomy, functional properties, and extrinsic targets has grown considerably. Here we …

The neocortex contains a multitude of cell types that are segregated into layers and
functionally distinct areas. To investigate the diversity of cell types across the mouse …

Non-recurrent deep convolutional neural networks (CNNs) are currently the best at
modeling core object recognition, a behavior that is supported by the densely recurrent …

Previous studies have shown that spike-timing-dependent plasticity (STDP) can be used in
spiking neural networks (SNN) to extract visual features of low or intermediate complexity in …

In recent years, the use of a large number of object concepts and naturalistic object images
has been growing strongly in cognitive neuroscience research. Classical databases of …

A comprehensive picture of object processing in the human brain requires combining both
spatial and temporal information about brain activity. Here we acquired human …

The visual system is exquisitely adapted to the task of extracting conceptual information from
visual input with every new eye fixation, three or four times a second. Here we assess the …

We describe an integrative model that encodes associations between related concepts in
the human hippocampal formation, constituting the skeleton of episodic memories. The …

Making inferences from partial information constitutes a critical aspect of cognition. During
visual perception, pattern completion enables recognition of poorly visible or occluded …