Structure–function relationships are a fundamental principle of many naturally occurring
systems. However, network neuroscience research suggests that there is an imperfect link …

The human brain is a sophisticated, high‐performance biocomputer that processes multiple
complex tasks in parallel with high efficiency and remarkably low power consumption …

The intrinsic dynamics of neuronal populations are shaped by both microscale attributes and
macroscale connectome architecture. Here we comprehensively characterize the rich …

Inspired by the principles of the biological nervous system, neuromorphic engineering has
brought a promising alternative approach to intelligence computing with high energy …

In this paper, we discuss the nonlinear computational power provided by dendrites in
biological and artificial neurons. We start by briefly presenting biological evidence about the …

Tuft dendrites of layer 5 pyramidal neurons form specialized compartments important for
motor learning and performance, yet their computational capabilities remain unclear …

When a neuron breaks silence, it can emit action potentials in a number of patterns. Some
responses are so sudden and intense that electrophysiologists felt the need to single them …

The brain is a highly efficient system that has evolved to optimize performance under limited
resources. In this review, we highlight recent theoretical and experimental studies that …

The spatiotemporal error caused by planar tiled structure design and the waste of
communication resources brought on by the transmission of a single channel are two …

Coordinated excitatory and inhibitory activity is required for proper brain functioning. Recent
computational and experimental studies have demonstrated that activity patterns in recurrent …