In this Review, we describe the singular success of attractor neural network models in
describing how the brain maintains persistent activity states for working memory, corrects …

Dense reconstruction of synaptic connectivity requires high-resolution electron microscopy
images of entire brains and tools to efficiently trace neuronal wires across the volume. To …

Network science provides a set of tools for the characterization of the structure and
functional behavior of complex systems. Yet a major problem is to quantify how the structural …

To track and control self-location, animals integrate their movements through space.
Representations of self-location are observed in the mammalian hippocampal formation, but …

Detailing how primate and mouse neurons differ is critical for creating generalized models of
how neurons process information. We reconstruct 15,748 synapses in adult Rhesus …

The neural dynamics generating sensory, motor, and cognitive functions are commonly
understood through field theories for neural population activity. Classic neural field theories …

Connectomes generated from electron microscopy images of neural tissue unveil the
complex morphology of every neuron and the locations of every synapse interconnecting …

The dense reconstruction of neuronal wiring diagrams from volumetric electron microscopy
data has the potential to generate fundamentally new insights into mechanisms of …

This article is part of the Physical Review Research collection titled Physics of
Neuroscience. Neural computation in biological and artificial networks relies on the …

Neuronal wiring diagrams reconstructed by electron microscopy 1, 2, 3, 4, 5 pose new
questions about the organization of nervous systems following the time-honored tradition of …