Primates use their eyes to keep track of spatial goals, and this strategy is reflected by the functional connectivity between a traditionally considered optic flow area (dorsomedial superior temporal area) and prefrontal cortex.

Signatures of criticality that have been observed across diverse neural systems, such as power-law avalanche distributions and exponent relationships, can arise without fine-tuning in networks coupled to latent, dynamical variables.

A new computational analysis of decision making in mice shows sex biases in value-updating while exploring unknown options, with male mice tending to explore longer than females due to updating values more slowly.

Small gated recurrent neural networks can dynamically adapt to inferred changes in the environment, represent and use the precision of their estimate to weight their updates, and leverage the environment's latent hierarchical structure, like the Bayesian agent and the brain.

A nonlinear deep generative model can represent fetal–neonatal resting-state functional magnetic resonance imaging better than conventional linear models.

The proposed techniques enable researchers to disentangle the statistical features of neural population responses, and rigorously quantify how these features carry information about stimuli and experimental variables.

There is a frequency-dependent association between the local field potential and the coordinated activity of populations of single neurons, which remains constant during different aspects of behaviour but changes across regions of primate sensorimotor cortex.

To make reliable but metabolically efficient perceptual inferences in a changing world, neural systems should dynamically adapt based on surprise and uncertainty about the sensory environment.

Modern machine learning methods offer new techniques for analyzing complex vocal behavior like ultrasonic mouse calls and birdsong.

The combination of statistical inference and perturbation experiments reveals that trans-generational inheritance of cell size and cell-cycle speed, coupled through a minimum-size checkpoint, shapes paradoxical cell-cycle correlations in lineage trees.