A major shift is happening within neurophysiology: a population doctrine is drawing level
with the single-neuron doctrine that has long dominated the field. Population-level ideas …

We update complementary learning systems (CLS) theory, which holds that intelligent
agents must possess two learning systems, instantiated in mammalians in neocortex and …

Deep neural networks (DNNs) have had extraordinary successes in classifying
photographic images of objects and are often described as the best models of biological …

" Our thoughts are meaningful. We think about things in the outside world; how can that be
so? This is one of the deepest questions in contemporary philosophy. Ever since …

Modular and distributed coding theories of category selectivity along the human ventral
visual stream have long existed in tension. Here, we present a reconciling framework …

The human visual system is an intricate network of brain regions that enables us to
recognize the world around us. Despite its abundant lateral and feedback connections …

Inferior temporal (IT) cortex in human and nonhuman primates serves visual object
recognition. Computational object-vision models, although continually improving, do not yet …

Recent advances in neural network modeling have enabled major strides in computer vision
and other artificial intelligence applications. Human-level visual recognition abilities are …

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

The ventral visual stream underlies key human visual object recognition abilities. However,
neural encoding in the higher areas of the ventral stream remains poorly understood. Here …