Optimal control mechanisms require prediction capabilities. If one cannot predict the consequences of a motor act or behavior, one will continually collide with walls or become a social pariah. "Looking into the future" is thus one of the most important prerequisites for smooth movements and social interactions. To achieve this goal, the brain must constantly predict future events. This principle applies to all domains of information processing, including motor and cognitive control, as well as the development of decision-making skills, theory of mind, and virtually all cognitive processes. Sequencing is suggested to support the predictive capacity of the brain. To recognize that events are related, the brain must discover links among them ...
Starting from macroscopic and microscopic facts of cerebellar histology, we propose a new functional...
Efficient behavior depends in part on the ability to predict the type and the timing of events in th...
Predictive coding is an unsupervised learning principle which has been proposed to explain the brain...
“Looking into the future” well depicts one of the most significant concepts in cognitive neuroscienc...
The cerebellum is an important contributor to feedforward control mechanisms of the central nervous ...
Reacting faster to the behaviour of others provides evolutionary advantages. Reacting to unpredictab...
Over the past 30 years, cumulative evidence has indicated that cerebellar function extends beyond se...
The idea that cerebellar processing is required in a variety of cognitive functions is well accepted...
When learning a new motor sequence, we must execute the correct order of movements while simultaneou...
Although the cerebellum has long been believed to be involved uniquely in sensorimotor processes, re...
Although the cerebellum has long been believed to be involved uniquely in sensorimotor processes, re...
The idea that cerebellar processing is required in a variety of cognitive functions is well accepted...
It is increasingly clear that we extract patterns of temporal regularity between events to optimize ...
There is growing evidence that the cerebellum is involved in the implicit learning of movement seque...
Starting from macroscopic and microscopic facts of cerebellar histology, we propose a new functional...
Starting from macroscopic and microscopic facts of cerebellar histology, we propose a new functional...
Efficient behavior depends in part on the ability to predict the type and the timing of events in th...
Predictive coding is an unsupervised learning principle which has been proposed to explain the brain...
“Looking into the future” well depicts one of the most significant concepts in cognitive neuroscienc...
The cerebellum is an important contributor to feedforward control mechanisms of the central nervous ...
Reacting faster to the behaviour of others provides evolutionary advantages. Reacting to unpredictab...
Over the past 30 years, cumulative evidence has indicated that cerebellar function extends beyond se...
The idea that cerebellar processing is required in a variety of cognitive functions is well accepted...
When learning a new motor sequence, we must execute the correct order of movements while simultaneou...
Although the cerebellum has long been believed to be involved uniquely in sensorimotor processes, re...
Although the cerebellum has long been believed to be involved uniquely in sensorimotor processes, re...
The idea that cerebellar processing is required in a variety of cognitive functions is well accepted...
It is increasingly clear that we extract patterns of temporal regularity between events to optimize ...
There is growing evidence that the cerebellum is involved in the implicit learning of movement seque...
Starting from macroscopic and microscopic facts of cerebellar histology, we propose a new functional...
Starting from macroscopic and microscopic facts of cerebellar histology, we propose a new functional...
Efficient behavior depends in part on the ability to predict the type and the timing of events in th...
Predictive coding is an unsupervised learning principle which has been proposed to explain the brain...