Artificial neural networks (ANNs) are essential tools in machine learning that have drawn
increasing attention in neuroscience. Besides offering powerful techniques for data analysis …

Working memory is the fundamental function by which we break free from reflexive input-
output reactions to gain control over our own thoughts. It has two types of mechanisms …

With advances in connectomics, transcriptome and neurophysiological technologies, the
neuroscience of brain-wide neural circuits is poised to take off. A major challenge is to …

The neocortex is a complex neurobiological system with many interacting regions. How
these regions work together to subserve flexible behavior and cognition has become …

Brain-wide circuits that coordinate affective and social behaviours intersect in the amygdala.
Consequently, amygdala lesions cause a heterogeneous array of social and non-social …

Cortical neurons process information on multiple timescales, and areas important for
working memory (WM) contain neurons capable of integrating information over a long …

Computational modeling of brain mechanisms of cognition has largely focused on the
cortex, but recent experiments have shown that higher-order nuclei of the thalamus …

Dopamine is required for working memory, but how it modulates the large-scale cortex is
unknown. Here, we report that dopamine receptor density per neuron, measured by …

Inhibitory neurons, which play a critical role in decision-making models, are often simplified
as a single pool of non-selective neurons lacking connection specificity. This assumption is …

Cortical circuits can flexibly change with experience and learning, but the effects on specific
cell types, including distinct inhibitory types, are not well understood. Here we investigated …