Cerebellum

Integrated plasticity at inhibitory and excitatory synapses in the cerebellar circuit
The way long-term potentiation (LTP) and depression (LTD) are integrated within the different synapses of brain neuronal circuits is …
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Spiking cerebellar model with multiple plasticity sites reproduces eye blinking classical conditioning
Eye blinking classical conditioning is one of the most extensively studied paradigms related to the cerebellum. In this work we have …
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CEREBSENSING - Cerebellar Distributed Plasticity Towards Active Sensing and Motor Control
CEREBSENSING is a H2020 Marie Sklodowska-Curie Action (IF) aiming to understand how the cerebellum processes sensorial information coming from the cerebral cortex by using computational models embedded in realistic perception-action simulations.
CEREBSENSING - Cerebellar Distributed Plasticity Towards Active Sensing and Motor Control
REALNET - Realistic Real-Time Networks. Computation Dynamics in the Cerebellum
The REALNET project is a FET Proactive initiative aiming to build the first realistic cerebellar model that can run in real-time and be used for controlling robotic systems. Our group develops the software simulation tool (EDLUT) and the simplified (spiking point neurons) model of the cerebellum.
REALNET - Realistic Real-Time Networks. Computation Dynamics in the Cerebellum
Adaptive robotic control driven by a versatile spiking cerebellar network
The cerebellum is involved in a large number of different neural processes, especially in associative learning and in fine motor …
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Fast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: a closed-loop robotic simulation
The cerebellum is known to play a critical role in learning relevant patterns of activity for adaptive motor control, but the …
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Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: a closed-loop robotic simulation
Adaptable gain regulation is at the core of the forward controller operation performed by the cerebro-cerebellar loops and it allows …
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Adaptive cerebellar spiking model embedded in the control loop: context switching and robustness against noise
This work evaluates the capability of a spiking cerebellar model embedded in different loop architectures (recurrent, forward, and …
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Cerebellar input configuration toward object model abstraction in manipulation tasks
It is widely assumed that the cerebellum is one of the main nervous centers involved in correcting and refining planned movement and …
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Context separability mediated by the granular layer in a spiking cerebellum model for robot control
In this paper, we study how a biologically-plausible cerebellum architecture can store and retrieve different robotic-arm internal …
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