Learning

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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Event and time driven hybrid simulation of spiking neural networks
Emerging research areas in neuroscience are requiring simulation of large and detailed spiking neural networks. Although eventdriven …
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Cerebellarlike corrective model inference engine for manipulation tasks
This paper presents how a simple cerebellumlike architecture can infer corrective models in the framework of a control task when …
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Cerebellar spiking engine: Towards objet model abstraction in manipulation
This paper presents how a simple cerebellumlike architecture can infer corrective models in the framework of a control task when …
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Simulation of biological neuronal structures. Design and functional study of the cerebellum
In this work, an extensive simulation study of the cerebellum is presented. Our study required the further development of the EDLUT …
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Spike timing regulation on the millisecond scale by distributed synaptic plasticity at the cerebellum input stage: a simulation study
The way long-term synaptic plasticity regulates neuronal spike patterns is not completely understood. This issue is especially relevant …
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