Elaine Ästrand

This study examines individual learning dynamics in neurofeedback by analyzing self-regulation of four cortical rhythms across multiple sessions, revealing feature-specific success and learning patterns.

This study identifies a task-identity neural state in the frontal eye field of macaques, showing distinct representations for different tasks and non-linear mixing of task and spatial information.

The paper investigates how the frontal eye field encodes multiple sources of information using non-orthogonal components, showing how this configuration affects behavioral variability.

This study uses machine-learning decoding of prefrontal cortex activity to identify distinct neural and behavioral signatures for spatial attention mechanisms and distractor suppression.

The paper shows that prefrontal neuronal population activity estimates spatial locations of perceived stimuli, with higher accuracy correlating with reported perception of targets and distractors.

This study shows that noise correlations between neurons in the macaque frontal eye fields change dynamically with task demands and exhibit rhythmic modulations in alpha and beta frequencies.

The paper reports rhythmic fluctuations in prefrontal noise correlations during a spatial memory task and links them to behavioral performance and neural mechanisms.