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 …

Despite continual debate for the past 30 years about the function of anterior cingulate cortex
(ACC), its key contribution to neurocognition remains unknown. However, recent …

The brain and behavior are under energetic constraints, limited by mitochondrial energy
transformation capacity. However, the mitochondria-behavior relationship has not been …

The connection patterns of neural circuits in the brain form a complex network. Collective
signalling within the network manifests as patterned neural activity and is thought to support …

Network control theory is increasingly used to profile the brain's energy landscape via
simulations of neural dynamics. This approach estimates the control energy required to …

Multivariate pattern analysis (MVPA) has emerged as a powerful method for the analysis of
functional magnetic resonance imaging, electroencephalography and …

Transformer has shown excellent performance in remote sensing field with long-range
modeling capabilities. Remote sensing video (RSV) moving object detection and tracking …

Imitation learning enables high-fidelity, vision-based learning of policies within rich,
photorealistic environments. However, such techniques often rely on traditional discrete-time …

In reduced-order modeling, complex systems that exhibit high state-space dimensionality
are described and evolved using a small number of parameters. These parameters can be …

The computational capabilities of neuronal networks are fundamentally constrained by their
specific connectivity. Previous studies of cortical connectivity have mostly been carried out in …