Spiking Neuronal Networks

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 forward&recurrent) to control a robotic arm …

n.-r.-luque

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 spiking neural network simulator. Thus we have …

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Jesús Garrido

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 accounting for disturbances occurring during …

n.-r.-luque

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 models (in synaptic connections between granular …

n.-r.-luque

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 methods have been recently proposed to simulate …

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Jesús Garrido

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 manipulating objects that significantly affect the …

n.-r.-luque

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 manipulating objects that significantly affect the …

n.-r.-luque