Traveling waves (TWs) are a fundamental mechanism of large-scale spatiotemporal coordination in the cortex, yet how their directionality originates from microscale circuit properties remains an open q...

In this issue of Neuron, Han et al. leverage a change-identification working memory task coupled with electrophysiological recordings in the macaque frontal eye field to show that information retrieva...

YouTube video by Earl Miller

A countenance such as a grimace activates many of the same cortical pathways as voluntary facial movements.

Since debunking an urban legend that headbutting animals don’t damage their brain, Nicole Ackermans has been investigating how the behavior correlates with neurodegeneration.

Human time perception is flexible and shaped by both structural constraints and contextual influences. Disentangling these sources of bias is essential for understanding the predictive mechanisms unde...

The Summer Workshop on the Dynamic Brain is an intensive, project-based residential course with a focus on the neurobiology of sensory processing, coding, and neural population dynamics.

The Attention, Distractions, and Memory (ADAM) Lab at Rice University is recruiting a full-time Research Specialist (Research Specialist I). The ADAM Lab (PI: Kirsten Adam) conducts cognitive neurosci...

By modeling the single-trial electroencephalogram of participants performing perceptual decisions, and building on predictions from two century-old psychological laws, we estimate the times of informa...

This network meta-analysis of 183 trials of well-being interventions from across disciplines found that yoga, mindfulness, compassion, exercise and positive psychology improved adult well-being, with combined exercise and psychological approaches showing the largest effects.

The Reward Positivity (RewP) is an electroencephalogram (EEG) feature that emerges following performance feedback and is commonly understood to index both positive and negative reward-prediction error (RPE+ and RPE−, respectively) signals. In contrast to this dominant perspective, we argue that the RewP is an independent EEG feature that selectively responds to positive RPE and is superimposed on a common background signal. We further propose that the RewP signals a goal prediction error: it is elicited by abstract signals instead of by hedonic 'rewards'. This goal prediction error appears to be produced by a critic-like architecture that is associated with the actor–critic framework in reinforcement learning. This perspective emphasizes the role of the RewP in goal attainment and cognitive control as opposed to being a simple indicator of reward receipt.

No two neurons are the same, yet models often treat neural populations as pools of identical and interchangeable elements. Here, Dahmen et al. highlight recent theoretical advances that reveal the imp...