An analysis of the first complete synaptic resolution connectome of Drosophila's navigation circuit uncovers neural network motifs supporting broadly relevant sensorimotor computations.

Behavioral and computational results show that the perception of our body as our own depends on Bayesian probabilistic reasoning that take into account the variations in sensory uncertainty when integrating visual and somatosensory cues.

CaImAn is an open-software package that equips the neuroscience community with a set of turnkey, fast and scalable solutions to pre-processing problems arising in single cell calcium imaging data analysis.

fMRI evidence for distinct hierarchical alterations in intrinsic neural timescales for different positive symptoms of schizophrenia support hierarchical perceptual-inference models of psychosis and suggest local increases in excitation-inhibition ratio.

A multi-scale integration of experimental and computational approaches shows how a non-linear dependence of T-type calcium channel gating on GABA_B receptor activity regulates thalamic network oscillations.

A first principles, neuro-computational framework proposes a path for the experimental dissection of neural circuit mechanisms of competitive selection across brain areas and animal species.

When exposed to sound sequences, humans compute biased transition probabilities between elements, extract the underlying network structure, and even generalize missing data.

A small population of lateral hypothalamic neurons detects pain and can be activated to suppress pain-related behavioral adaptations and the unpleasantness associated with pain in mice.

A recurrent neural network model with parameters constrained by data explains mechanisms for how tuning properties of motor cortical neurons change during movement preparation and execution in a monkey performing a reaching task, and accurately reproduces neural dynamics from recordings.