Name
Affiliation
Papers
EGIDIO D'ANGELO
Fondazione "Istituto Neurologico Casimiro Mondino"
31
Collaborators
Citations 
PageRank 
49
57
12.77
Referers 
Referees 
References 
152
408
159
Search Limit
100408
Title
Citations
PageRank
Year
Bayesian Integration in a Spiking Neural System for Sensorimotor Control00.342022
Cerebellar Golgi Cell Models Predict Dendritic Processing And Mechanisms Of Synaptic Plasticity00.342020
Corrigendum: Complex Electroresponsive Dynamics in Olivocerebellar Neurons Represented With Extended-Generalized Leaky Integrate and Fire Models.00.342019
GPU Parallelization of Realistic Purkinje Cells with Complex Morphology00.342019
Response Dynamics in an Olivocerebellar Spiking Neural Network With Non-linear Neuron Properties.00.342019
Corrigendum: Complex Dynamics in Simplified Neuronal Models: Reproducing Golgi Cell Electroresponsiveness00.342019
Control of a Humanoid NAO Robot by an Adaptive Bioinspired Cerebellar Module in 3D Motion Tasks.20.422019
Exploiting multi-core and many-core architectures for efficient simulation of biologically realistic models of Golgi cells.00.342019
Complex Electroresponsive Dynamics in Olivocerebellar Neurons Represented With Extended-Generalized Leaky Integrate and Fire Models.00.342019
Computational Modelling of Cerebellar Magnetic Stimulation - The Effect of Washout.00.342019
Corrigendum: Reconstruction and Simulation of a Scaffold Model of the Cerebellar Network00.342019
Reconstruction and Simulation of a Scaffold Model of the Cerebellar Network10.362019
Complex Dynamics in Simplified Neuronal Models: Reproducing Golgi Cell Electroresponsiveness.10.362018
Dynamic Redistribution Of Plasticity In A Cerebellar Spiking Neural Network Reproducing An Associative Learning Task Perturbed By Tms00.342018
Bioinspired Adaptive Spiking Neural Network to Control NAO Robot in a Pavlovian Conditioning Task00.342018
A Multiple-Plasticity Spiking Neural Network Embedded In A Closed-Loop Control System To Model Cerebellar Pathologies60.432018
Model-Driven Analysis of Eyeblink Classical Conditioning Reveals the Underlying Structure of Cerebellar Plasticity and Neuronal Activity.10.362017
The Human Brain Project: Parallel technologies for biologically accurate simulation of Granule cells.00.342016
Computational Modeling of Single Neuron Extracellular Electric Potentials and Network Local Field Potentials using LFPsim.20.382016
Exploiting Point Source Approximation On Detailed Neuronal Models To Reconstruct Single Neuron Electric Field And Population Lfp10.372015
The Human Brain Project: High Performance Computing for Brain Cells Hw/Sw Simulation and Understanding30.422015
Distributed cerebellar plasticity implements generalized multiple-scale memory components in real-robot sensorimotor tasks.70.672015
Reconstructing Fmri Bold Signals Arising From Cerebellar Granule Neurons - Comparing Glm And Balloon Models00.342015
Fast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: a closed-loop robotic simulation.80.522014
Distributed cerebellar plasticity implements multiple-scale memory components of Vestibulo-Ocular Reflex in real-robots00.342014
Brain-inspired Sensorimotor Robotic Platform - Learning in Cerebellum-driven Movement Tasks through a Cerebellar Realistic Model.10.402013
Modeling spike-train processing in the cerebellum granular layer and changes in plasticity reveal single neuron effects in neural ensembles.60.732012
Realistic modeling of large-scale networks: spatio-temporal dynamics and long-term synaptic plasticity in the cerebellum00.342011
How synaptic release probability shapes neuronal transmission: information-theoretic analysis in a cerebellar granule cell.70.712010
Modeling synaptic transmission and quantifying information transfer in the granular layer of the cerebellum40.532005
An integrate-and-fire model of a cerebellar granule cell70.732004