Parietal cortex

We actively sample our visual environment via gaze shifts, primarily involving eye and head movements. While there has been extensive research on human eye movements, this is not the case for head movements, which remain severely underexplored, both in terms of their behavioral characteristics and underlying electrophysiology. Here, we report data from multiple experiments where human participants performed gaze shifts that included real-world head and eye movements. Head and eye tracking data were recorded simultaneously with scalp EEG in healthy participants and intracranial EEG in epilepsy

…frame in the primary somatosensory cortex to the spatiotopic reference frame remains unclear. This study investigated how hand position in space or posture influences cortical somatosensory processing. Twenty-two healthy subjects received electrical stimulation to the right thumb (D1) or little finger (D5) in three position conditions: palm down on right side of the body

…primate model of primary motor cortex (M1) lesions and motor recovery, we previously reported reorganization of subcortical output projections from the ipsilesional ventral premotor cortex (ip-PMv) to the cerebellum. In this study, we investigated the rewiring of cortico-cortical connections between the ip-PMv and parietal cortex using the same model. We injected biotinylated dextran amine (BDA) into the ip-PMv and compared the BDA labeling in the areas a

…Using data from parietal cortex (Driscoll et al. 2017) and visual cortex (Marks & Goard 2021), we evaluated pairwise encodings of task information to derive measure

…multiple subregions of the human brain cortex coordinate to support the WM functions, their distinct contributions are under debate. By comparing WM performance with transcranial magnetic stimulati

…planning-related areas in premotor and parietal cortex.

…monkeys, neurons in the prefrontal and parietal cortex were observed to respond selectively to the proportion between two magnitudes (Vallentin 2008, 2010), suggesting these units could be fundamental for innate magnitude comparisons. However, details of how these comparison units emerge without any learning also remain unclear. Here, we show that magnitude comparison units can arise spontaneously

Natural perception relies inherently on inferring causal structure in the environment. However, the neural mechanisms and functional circuits that are essential for representing and updating the hidden causal structure during multisensory processing are unknown. To address this, monkeys were trained to infer the probability of a potential common source from visual and proprioceptive signals on the basis of their spatial disparity in a virtual reality system. The proprioceptive drift reported by monkeys demonstrated that they combined historical information and current multisensory signals to e

We must constantly adapt the rules we use to guide our attention. To understand how the brain learns these rules, we designed a novel task that required monkeys to learn which color is the most rewarded at a given time (the current rule). However, just as in real life, the monkey was never explicitly told the rule. Instead, they had to learn it through trial and error by choosing a color, receiving feedback (amount of reward), and then updating their internal rule. After the monkeys reached a behavioral criterion, the rule changed. This change was not cued but could be inferred based on reward

…spaces, that are associated with the parietal cortex and are similar to self-centered spatial relationships. I will suggest that cognitive maps and image spaces may be two manifestations of a m