Sandra Diaz-Pier

According to our database, Sandra Diaz-Pier authored at least 16 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Emergent communication enhances foraging behavior in evolved swarms controlled by spiking neural networks.

Cristian Jimenez-Romero, Alper Yegenoglu, Aarón Pérez Martín, Sandra Diaz-Pier, Abigail Morrison

Swarm Intell., March, 2024

2023

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

Michiel van der Vlag, Lionel Kusch, Alain Destexhe, Viktor K. Jirsa, Sandra Diaz-Pier, Jennifer S. Goldman

CoRR, 2023

2022

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

Michael Schirner, Lia Domide, Dionysios Perdikis, Paul Triebkorn, Leon Stefanovski, Roopa Pai, Paula Prodan, Bogdan Valean, Jessica Palmer, Chloê Langford, André Blickensdörfer, Michiel van der Vlag, Sandra Diaz-Pier, Alexander Peyser, Wouter Klijn, Dirk Pleiter, Anne Nahm, Oliver Schmid, Michael Marmaduke Woodman, Lyuba Zehl, Jan Fousek, Spase Petkoski, Lionel Kusch, Meysam Hashemi, Daniele Marinazzo, Jean-François Mangin, Agnes Flöel, Simisola Akintoye, Bernd Carsten Stahl, Michael Cepic, Emily Johnson, Gustavo Deco, Anthony R. McIntosh, Claus C. Hilgetag, Marc Morgan, Bernd Schuller, Alex Upton, Colin McMurtrie, Timo Dickscheid, Jan G. Bjaalie, Katrin Amunts, Jochen Mersmann, Viktor K. Jirsa, Petra Ritter

NeuroImage, 2022

Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn.

Alper Yegenoglu, Anand Subramoney, Thorsten Hater, Cristian Jimenez-Romero, Wouter Klijn, Aaron Perez Martin, Michiel van der Vlag, Michael Herty, Abigail Morrison, Sandra Diaz-Pier

Frontiers Comput. Neurosci., 2022

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

Cristian Jimenez-Romero, Alper Yegenoglu, Aarón Pérez Martín, Sandra Diaz-Pier, Abigail Morrison

CoRR, 2022

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

Alper Yegenoglu, Anand Subramoney, Thorsten Hater, Cristian Jimenez-Romero, Wouter Klijn, Aaron Perez Martin, Michiel van der Vlag, Michael Herty, Abigail Morrison, Sandra Diaz-Pier

CoRR, 2022

2021

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

Meysam Hashemi, Anirudh Nihalani Vattikonda, Viktor Sip, Sandra Diaz-Pier, Alexander Peyser, Huifang E. Wang, Maxime Guye, Fabrice Bartolomei, Michael Marmaduke Woodman, Viktor K. Jirsa

PLoS Comput. Biol., 2021

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

Oleksandr V. Popovych, Kyesam Jung, Thanos Manos, Sandra Diaz-Pier, Felix Hoffstaedter, Jan Schreiber, B. T. Thomas Yeo, Simon B. Eickhoff

NeuroImage, 2021

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

Patrick Herbers, Iago Calvo, Sandra Diaz-Pier, Óscar D. Robles, Susana Mata, Pablo Toharia, Luis Pastor, Alexander Peyser, Abigail Morrison, Wouter Klijn

Frontiers Neuroinformatics, 2021

Brain Modelling as a Service: The Virtual Brain on EBRAINS.

Michael Schirner, Lia Domide, Dionysios Perdikis, Paul Triebkorn, Leon Stefanovski, Roopa Pai, Paula Popa, Bogdan Valean, Jessica Palmer, Chloê Langford, André Blickensdörfer, Michiel van der Vlag, Sandra Diaz-Pier, Alexander Peyser, Wouter Klijn, Dirk Pleiter, Anne Nahm, Oliver Schmid, Michael Marmaduke Woodman, Lyuba Zehl, Jan Fousek, Spase Petkoski, Lionel Kusch, Meysam Hashemi, Daniele Marinazzo, Jean-François Mangin, Agnes Flöel, Simisola Akintoye, Bernd Carsten Stahl, Michael Cepic, Emily Johnson, Anthony R. McIntosh, Claus C. Hilgetag, Marc Morgan, Bernd Schuller, Alex Upton, Colin McMurtrie, Timo Dickscheid, Jan G. Bjaalie, Katrin Amunts, Jochen Mersmann, Viktor K. Jirsa, Petra Ritter

CoRR, 2021

2020

Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent.

Alper Yegenoglu, Kai Krajsek, Sandra Díaz-Pier, Michael Herty

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

2019

Staged deployment of interactive multi-application HPC workflows.

Wouter Klijn, Sandra Diaz-Pier, Abigail Morrison, Alexander Peyser

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.

Christian Nowke, Sandra Diaz-Pier, Benjamin Weyers, Bernd Hentschel, Abigail Morrison, Torsten W. Kuhlen, Alexander Peyser

Frontiers Neuroinformatics, 2018

Code Generation in Computational Neuroscience: A Review of Tools and Techniques.

Inga Blundell, Romain Brette, Thomas A. Cleland, Thomas G. Close, Daniel Coca, Andrew P. Davison, Sandra Diaz-Pier, Carlos Fernandez Musoles, Padraig Gleeson, Dan F. M. Goodman, Michael L. Hines, Michael W. Hopkins, Pramod S. Kumbhar, David R. Lester, Bóris Marin, Abigail Morrison, Eric Müller, Thomas Nowotny, Alexander Peyser, Dimitri Plotnikov, Paul Richmond, Andrew Rowley, Bernhard Rumpe, Marcel Stimberg, Alan B. Stokes, Adam R. Tomkins, Guido Trensch, Michael Marmaduke Woodman, Jochen Martin Eppler

Frontiers Neuroinformatics, 2018

2011

Classical Simulation of Quantum Adiabatic Algorithms Using Mathematica on GPUs.

Sandra Díaz-Pier, Salvador Elías Venegas-Andraca

Int. J. Unconv. Comput., 2011

2005

Traducing Software Voice-Pattern-Detection Applications into Hardware Systems.

Carlos Nieto-Granda, Sandra Díaz-Pier, Carlos Ortega-Otero, Ricardo Swain Oropeza

Proceedings of the 15th International Conference on Electronics, Communications, and Computers (CONIELECOMP 2005), 28 February 2005, 2005