Functional MRI measurements of orientation reflect coarse-scale biases that are wholly determined by second-order interactions between the stimulus aperture and the underlying orientation.

The consolidation of newly acquired motor skills induces a functional reorganization of sequential information representations within secondary motor cortex, basal ganglia and hippocampus.

Reducing visibility with higher image presentation rates increases recurrent processing demands along the visual processing pathway to resolve object recognition.

Signals recorded directly from human anterior temporal cortex reveal that the brain represents animacy information using a distributed code that changes radically as a stimulus is processed, as predicted by an artificial neural network model.

Neural representations are fast-evolving trajectories, and distinct components of these trajectories reappear during retrieval with distinct consequences for learning.

Multivariate stochastic volatility models provide insights into understanding the dynamics and connectivity of neural signals during cognitive tasks.

The comprehension of acoustic and visual speech depends on modality-specific pathways in the brain, which explains why auditory speech abilities and lip reading are not associated in typical adults.

Integrated molecular analysis demonstrated that colorectal cancer can be classified into four molecular subtypes (proliferative, immunomodulatory, immunosuppressed, and immune-excluded subtypes), providing valuable insight into the intricate relationship between tumor microenvironment heterogeneity and various clinical phenotypes.

Neuroimaging provides novel insights into how the motor system represents sequences of actions by automatically separating their spatial and temporal features for flexible skill production.

Machine learning analyses reveal that the observation of acute pain inflictions and facial expressions of pain evoke shared pain-specific neural representations.