Sandra Diaz-Pier

Orcid: 0000-0002-3168-5394

According to our database1, Sandra Diaz-Pier authored at least 19 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Interdisciplinary and Collaborative Training in Neuroscience: Insights from the Human Brain Project Education Programme.
Neuroinformatics, October, 2024

Emergent communication enhances foraging behavior in evolved swarms controlled by spiking neural networks.
Swarm Intell., March, 2024

Multiscale co-simulation design pattern for neuroscience applications.
Frontiers Neuroinformatics, 2024

2023
Enhanced simulations of whole-brain dynamics using hybrid resting-state structural connectomes.
Frontiers Comput. Neurosci., 2023

Vast TVB parameter space exploration: A Modular Framework for Accelerating the Multi-Scale Simulation of Human Brain Dynamics.
CoRR, 2023

2022
Brain simulation as a cloud service: The Virtual Brain on EBRAINS.
NeuroImage, 2022

Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn.
Frontiers Comput. Neurosci., 2022

Emergent communication enhances foraging behaviour in evolved swarms controlled by Spiking Neural Networks.
CoRR, 2022

Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn.
CoRR, 2022

2021
On the influence of prior information evaluated by fully Bayesian criteria in a personalized whole-brain model of epilepsy spread.
PLoS Comput. Biol., 2021

Inter-subject and inter-parcellation variability of resting-state whole-brain dynamical modeling.
NeuroImage, 2021

ConGen - A Simulator-Agnostic Visual Language for Definition and Generation of Connectivity in Large and Multiscale Neural Networks.
Frontiers Neuroinformatics, 2021

Brain Modelling as a Service: The Virtual Brain on EBRAINS.
CoRR, 2021

2020
Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

2019
Staged deployment of interactive multi-application HPC workflows.
Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

2018
Toward Rigorous Parameterization of Underconstrained Neural Network Models Through Interactive Visualization and Steering of Connectivity Generation.
Frontiers Neuroinformatics, 2018

Code Generation in Computational Neuroscience: A Review of Tools and Techniques.
Frontiers Neuroinformatics, 2018

2011
Classical Simulation of Quantum Adiabatic Algorithms Using Mathematica on GPUs.
Int. J. Unconv. Comput., 2011

2005
Traducing Software Voice-Pattern-Detection Applications into Hardware Systems.
Proceedings of the 15th International Conference on Electronics, Communications, and Computers (CONIELECOMP 2005), 28 February 2005, 2005


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