Predicting the trajectories of moving objects in our surroundings is important for many life scenarios, such as driving, walking, reaching, hunting and combat. We determined human subjects' performance and task-related brain activity in a motion trajectory prediction task. The task required spatial and motion working memory as well as the ability to extrapolate motion information in time to predict future object locations. We showed that the neural circuits associated with motion prediction included frontal, parietal and insular cortex, as well as the thalamus and the visual cortex. Interestingly, deactivation of many of these regions seemed to be more closely related to task performance. The differential activity during motion prediction v...
Contains fulltext : 36337.pdf (publisher's version ) (Closed access)A person's abi...
For self-driving vehicles, aerial drones, and autonomous robots to be successfully deployed in the r...
Most brain-machine interface (BMI) studies have focused only on the active state of which a BMI user...
Predicting the trajectories of moving objects in our surroundings is important for many life scenari...
The human brain is nearly constantly subjected to visual motion signals originating from a large var...
Recent views of information processing in the (human) brain emphasize the hierarchical structure of ...
Animals use vision to traverse novel cluttered environments with apparent ease. Evidence suggests th...
The current study investigates if early visual cortical areas, V1, V2 and V3, use predictive coding ...
Recently, several studies showed that fMRI BOLD responses to moving random dot stimuli are enhanced ...
The purpose of the present study was to test the prediction that a moving object produces a trail of...
The cerebral cortex predicts visual motion to adapt human behavior to surrounding objects moving in ...
Linking observed and executable actions appears to be achieved by an action observation network (AON...
Humans have the ability to make motor responses to unpredictable visual stimuli, and do so as a matt...
Implied motion perception is a striking case of our capacity to infer motion features from static pi...
Abstract Prediction is a core function of the human visual system. Contemporary research suggests th...
Contains fulltext : 36337.pdf (publisher's version ) (Closed access)A person's abi...
For self-driving vehicles, aerial drones, and autonomous robots to be successfully deployed in the r...
Most brain-machine interface (BMI) studies have focused only on the active state of which a BMI user...
Predicting the trajectories of moving objects in our surroundings is important for many life scenari...
The human brain is nearly constantly subjected to visual motion signals originating from a large var...
Recent views of information processing in the (human) brain emphasize the hierarchical structure of ...
Animals use vision to traverse novel cluttered environments with apparent ease. Evidence suggests th...
The current study investigates if early visual cortical areas, V1, V2 and V3, use predictive coding ...
Recently, several studies showed that fMRI BOLD responses to moving random dot stimuli are enhanced ...
The purpose of the present study was to test the prediction that a moving object produces a trail of...
The cerebral cortex predicts visual motion to adapt human behavior to surrounding objects moving in ...
Linking observed and executable actions appears to be achieved by an action observation network (AON...
Humans have the ability to make motor responses to unpredictable visual stimuli, and do so as a matt...
Implied motion perception is a striking case of our capacity to infer motion features from static pi...
Abstract Prediction is a core function of the human visual system. Contemporary research suggests th...
Contains fulltext : 36337.pdf (publisher's version ) (Closed access)A person's abi...
For self-driving vehicles, aerial drones, and autonomous robots to be successfully deployed in the r...
Most brain-machine interface (BMI) studies have focused only on the active state of which a BMI user...