Sacha J. van Albada

According to our database, Sacha J. van Albada authored at least 15 papers between 2013 and 2024.

Collaborative distances:

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

2024

A method for the ethical analysis of brain-inspired AI.

Michele Farisco, Gianluca Baldassarre, Emilio Cartoni, Antonia Leach, Mihai A. Petrovici, Achim Rosemann, Arleen Salles, Bernd Stahl, Sacha J. van Albada

Artif. Intell. Rev., June, 2024

2022

Connectivity concepts in neuronal network modeling.

Johanna Senk, Birgit Kriener, Mikael Djurfeldt, Nicole Voges, Han-Jia Jiang, Lisa Schüttler, Gabriele Gramelsberger, Markus Diesmann, Hans E. Plesser, Sacha J. van Albada

PLoS Comput. Biol., September, 2022

Fast Simulation of a Multi-Area Spiking Network Model of Macaque Cortex on an MPI-GPU Cluster.

Gianmarco Tiddia, Bruno Golosio, Jasper Albers, Johanna Senk, Francesco Simula, Jari Pronold, Viviana Fanti, Elena Pastorelli, Pier Stanislao Paolucci, Sacha J. van Albada

Frontiers Neuroinformatics, August, 2022

Cortical oscillations support sampling-based computations in spiking neural networks.

Agnes Korcsak-Gorzo, Michael G. Müller, Andreas Baumbach, Luziwei Leng, Oliver Julien Breitwieser, Sacha J. van Albada, Walter Senn, Karlheinz Meier, Robert Legenstein, Mihai A. Petrovici

PLoS Comput. Biol., 2022

Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density.

Agnes Korcsak-Gorzo, Charl A. P. Linssen, Jasper Albers, Stefan Dasbach, Renato C. Duarte, Susanne Kunkel, Abigail Morrison, Johanna Senk, Jonas Stapmanns, Tom Tetzlaff, Markus Diesmann, Sacha J. van Albada

CoRR, 2022

2021

Editorial: Advances in Computational Neuroscience.

Thomas Nowotny, Sacha J. van Albada, Jean-Marc Fellous, Julie S. Haas, Renaud B. Jolivet, Christoph Metzner, Tatyana O. Sharpee

Frontiers Comput. Neurosci., 2021

2019

Usage and Scaling of an Open-Source Spiking Multi-Area Model of Monkey Cortex.

Sacha J. van Albada, Jari Pronold, Alexander van Meegen, Markus Diesmann

Proceedings of the Brain-Inspired Computing - 4th International Workshop, 2019

2018

A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas.

Maximilian Schmidt, Rembrandt Bakker, Kelly Shen, Gleb Bezgin, Markus Diesmann, Sacha Jennifer van Albada

PLoS Comput. Biol., 2018

Criteria on Balance, Stability, and Excitability in Cortical Networks for Constraining Computational Models.

Andrei Maksimov, Markus Diesmann, Sacha J. van Albada

Frontiers Comput. Neurosci., 2018

2017

Fundamental Activity Constraints Lead to Specific Interpretations of the Connectome.

Jannis Schuecker, Maximilian Schmidt, Sacha J. van Albada, Markus Diesmann, Moritz Helias

PLoS Comput. Biol., 2017

2016

A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC.

Johanna Senk, Alper Yegenoglu, Olivier Amblet, Yury Brukau, Andrew P. Davison, David Roland Lester, Anna Lührs, Pietro Quaglio, Vahid Rostami, Andrew Rowley, Bernd Schuller, Alan Barry Stokes, Sacha Jennifer van Albada, Daniel Zielasko, Markus Diesmann, Benjamin Weyers, Michael Denker, Sonja Grün

Proceedings of the High-Performance Scientific Computing, 2016

2015

Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Connectivity and Correlations.

Sacha J. van Albada, Moritz Helias, Markus Diesmann

PLoS Comput. Biol., 2015

2013

Cortical information flow in Parkinson's disease: a composite network/field model.

Cliff C. Kerr, Sacha J. van Albada, Samuel A. Neymotin, George L. Chadderdon, Peter A. Robinson, William W. Lytton

Frontiers Comput. Neurosci., 2013

Integrating Brain Structure and Dynamics on Supercomputers.

Sacha J. van Albada, Susanne Kunkel, Abigail Morrison, Markus Diesmann

Proceedings of the Brain-Inspired Computing - International Workshop, 2013

VisNEST - Interactive analysis of neural activity data.

Christian Nowke, Maximilian Schmidt, Sacha J. van Albada, Jochen M. Eppler, Rembrandt Bakker, Markus Diesrnann, Bernd Hentschel, Torsten W. Kuhlen

Proceedings of the IEEE Symposium on Biological Data Visualization, 2013