The cerebellum plays a crucial role in motor learning and it acts as a predictive controller. Modeling it and embedding it into sensorimotor tasks allows us to create functional links between plasticity mechanisms, neural circuits and behavioral learning. Moreover, if applied to real-time control of a neurorobot, the cerebellar model has to deal with a real noisy and changing environment, thus showing its robustness and effectiveness in learning. A biologically inspired cerebellar model with distributed plasticity, both at cortical and nuclear sites, has been used. Two cerebellum-mediated paradigms have been designed: an associative Pavlovian task and a vestibulo-ocular reflex, with multiple sessions of acquisition and extinction and with d...
The cerebellum is known to play a critical role in learning relevant patterns of activity for adapti...
International audienceWe embed a spiking cerebellar model within an adaptive real-time (RT) control ...
Since the Marr-Albus model, computational neuroscientists have been developing a variety of models o...
The cerebellum plays a crucial role in motor learning and it acts as a predictive controller. Modeli...
Adaptable gain regulation is at the core of the forward controller operation performed by the cerebr...
The cerebellum plays a crucial role in motor learning and it acts as a predictive controller. Modeli...
The cerebellum is involved in a large number of different neural processes, especially in associativ...
The cerebellum is involved in a large number of different neural processes, especially in associativ...
Deep cerebellar nuclei neurons receive both inhibitory (GABAergic) synaptic currents from Purkinje c...
The primary aims of this research were to gain insight into control architectures of the mammalian b...
In this study, we defined a realistic cerebellar model through the use of artificial spiking neural ...
The cerebellum is known to play a critical role in learning relevant patterns of activity for adapti...
International audienceWe embed a spiking cerebellar model within an adaptive real-time (RT) control ...
Since the Marr-Albus model, computational neuroscientists have been developing a variety of models o...
The cerebellum plays a crucial role in motor learning and it acts as a predictive controller. Modeli...
Adaptable gain regulation is at the core of the forward controller operation performed by the cerebr...
The cerebellum plays a crucial role in motor learning and it acts as a predictive controller. Modeli...
The cerebellum is involved in a large number of different neural processes, especially in associativ...
The cerebellum is involved in a large number of different neural processes, especially in associativ...
Deep cerebellar nuclei neurons receive both inhibitory (GABAergic) synaptic currents from Purkinje c...
The primary aims of this research were to gain insight into control architectures of the mammalian b...
In this study, we defined a realistic cerebellar model through the use of artificial spiking neural ...
The cerebellum is known to play a critical role in learning relevant patterns of activity for adapti...
International audienceWe embed a spiking cerebellar model within an adaptive real-time (RT) control ...
Since the Marr-Albus model, computational neuroscientists have been developing a variety of models o...