Peer-reviewed publications

2024

• Senk J., Hagen E., van Albada S.J., Diesmann M. (2024) Reconciliation of weak pairwise spike-train correlations and highly coherent local field potentials across space. Cerebral Cortex. 34(10). DOI: 10.1093/cercor/bhae405
  
  

2023

• Golosio B., Villamar J., Tiddia G., Pastorelli E., Stapmanns J., Fanti V., Paolucci PS., Morrison A., Senk J. (2023) Runtime Construction of Large-Scale Spiking Neuronal Network Models on GPU Devices. Applied Sciences 13(17):9598.
  DOI: 10.3390/app13179598
  
  

2022

• Albers J., Pronold J., Kurth AC., Vennemo SB., Haghighi Mood K., Patronis A., Terhorst D., Jordan J., Kunkel S., Tetzlaff T., Diesmann M., Senk J. (2022) A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations. Frontiers in Neuroinformatics 16:837549.
  DOI: 10.3389/fninf.2022.837549
  
  
• Kurth AC., Senk J., Terhorst D., Finnerty J., Diesmann M. (2022) Sub-realtime simulation of a neuronal network of natural density. Neuromorphic Computing and Engineering 2:021001.
  DOI: 10.1088/2634-4386/ac55fc
  DATA available at Zenodo: 10.5281/zenodo.5637375
  
  
• Layer M., Senk J., Essink S., van Meegen A., Bos H., Helias M. (2022) NNMT: Mean-Field Based Analysis Tools for Neuronal Network Models. Frontiers in neuroinformatics 16, 835657. DOI: 10.3389/fninf.2022.835657
  
  
• Senk J., Kriener B., Djurfeldt M., Voges N., Jiang HJ., Schüttler L., Gramelsberger G., Diesmann M., Plesser HE., van Albada SJ. (2022) Connectivity concepts in neuronal network modeling. PLoS Computational Biology 18(9):e1010086.
  DOI: 10.1371/journal.pcbi.1010086
  
  
• Tiddia G., Golosio B., Albers J., Senk J., Simula F., Pronold J., Fanti V., Pastorelli E., Paolucci P. S., van Albada S. J. (2022) Fast Simulation of a Multi-Area Spiking Network Model of Macaque Cortex on an MPI-GPU Cluster. Frontiers in neuroinformatics 16, 883333. DOI: 10.3389/fninf.2022.883333
  
  

2021

• Dasbach S., Tetzlaff T., Diesmann M. and Senk J. (2021) Dynamical Characteristics of Recurrent Neuronal Networks Are Robust Against Low Synaptic Weight Resolution. Frontiers in Neuroscience 15:757790. DOI: 10.3389/fnins.2021.757790
  
  
• Spreizer S., Senk J., Rotter S., Diesmann M., Weyers B. (2021) NEST Desktop, an Educational Application for Neuroscience. eNeuro 8(6):0274-21.2021. DOI: 10.1523/ENEURO.0274-21.2021
  
  

2020

• Senk J., Korvasova K., Schuecker J., Hagen E., Tetzlaff T., Diesmann M., Helias M. (2020) Conditions for wave trains in spiking neural networks. Physical Review Research 2:023174.
  DOI: 10.1103/PhysRevResearch.2.023174
  
  

2018

• van Albada SJ., Rowley AG., Senk J., Hopkins M., Schmidt M., Stokes AB., Lester DR., Diesmann M., Furber SB. (2018) Performance Comparison of the Digital Neuromorphic Hardware SpiNNaker and the Neural Network Simulation Software NEST for a Full-Scale Cortical Microcircuit Model. Frontiers in Neuroscience 12:291.
  DOI: 10.3389/fnins.2018.00291
  
  
• Senk J., Carde C., Hagen E., Kuhlen TW., Diesmann M., Weyers B. (2018) VIOLA - A Multi-Purpose and Web-Based Visualization Tool for Neuronal-Network Simulation Output. Frontiers in Neuroinformatics. 12:75.
  DOI: 10.3389/fninf.2018.00075
  
  

2017

• Senk J., Yegenoglu A., Amblet O., Brukau Y., Davison A., Lester DR., Lührs A., Quaglio P., Rostami V., Rowley A., Schuller B., Stokes AB., van Albada SJ., Zielasko D., Diesmann M., Weyers B., Denker M., Grün S. (2017) A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC. In: Di Napoli E, Hermanns M-A, Iliev H, Lintermann A, Peyser A eds. High-Performance Scientific Computing. Cham: Springer International Publishing 243–256.
  DOI: 10.1007/978-3-319-53862-4_21.