astasik

Image of person
Could not get user data from external service

Academic interests

-Artificial neural networks (ANN) and their similarity to biological neutral networks (BNN)

-Spatial navigation and representation in ANNs and BNNs

-Bayesian machine learning

-Spiking plasticity in ANNs and BNNs

-Biological neural network population simulation and related observables like LFP, EEG, MUA

-Tensor factorisation techniques and applications in ANNs, but also in data analysis of biological neural systems

-Neutrino Astrophyics

-Astroparticle Physics

Publications

Joint Constraints on Galactic Diffuse Neutrino Emission from the ANTARES and IceCube Neutrino Telescopes 
ANTARES and IceCube Collaborations: A. Albert et al
(Journal) Astrophysical Journal Letters 868 (2018) L20; e-print archive arXiv:1808.03531 [astro-ph.HE]

Astrophysical Neutrinos and Cosmic Rays Observed by IceCube 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Advances in Space Research 62 (2018) 2902-2930, 15 November 2018

Probing Particle Physics with IceCube 
Markus Ahlers, Klaus Helbing, Carlos Pérez de los Heros
(Journal) European Physical Journal C78 (2018) 924

Search for Neutrinos from Decaying Dark Matter with IceCube 
IceCube Collaboration: M. G. Aartsen et al
(Journal) European Physical Journal C78 (2018) 831, October 2018

Differential Limit on the Extremely-High-Energy Cosmic Neutrino Flux in the Presence of Astrophysical Background from Nine Years of IceCube Data 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Physical Review D98 (2018) 062003, 12 September 2018; e-print archive arXiv:1807.01820 [astro-ph.HE]

Neutrino Interferometry for High-Precision Tests of Lorentz Symmetry with IceCube 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Nature Physics 14 (2018) 961-966; e-print archive arXiv:1709.03434 [hep-ex]

Opening a New Window onto the Universe with IceCube 
Markus Ahlers and Francis Halzen
(Journal) Progress in Particle and Nuclear Physics 102 (2018) 73-88; e-print archive arXiv:1805.11112 [astro-ph.HE]

Multimessenger observations of a flaring blazar coincident with high-energy neutrino IceCube-170922A 
The IceCube, Fermi-LAT, MAGIC, AGILE, ASAS-SN, HAWC, H.E.S.S, INTEGRAL, Kanata, Kiso, Kapteyn, Liverpool telescope, Subaru, Swift/NuSTAR, VERITAS, and VLA/17B-403 teams
(Journal) Science 361, eaat1378 (2018); DOI:10.1126/science.aat1378

Neutrino emission from the direction of the blazar TXS 0506+056 prior to the IceCube-170922A alert 
IceCube Collaboration: M.G. Aartsen et al.
(Journal) Science 361, 147-151 (2018). DOI:10.1126/science.aat2890

A Search for Neutrino Emission from Fast Radio Bursts with Six Years of IceCube Data 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Astrophysical Journal 857 (2018) 117; e-print archive arXiv:1712.06277 [hep-ex]

Search for Nonstandard Neutrino Interactions with IceCube DeepCore 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Physical Review D97 (2018) 072009; e-print archive arXiv:1709.07079 [hep-ex]

Computational Techniques for the Analysis of Small Signals in High-Statistics Neutrino Oscillation Experiments 
IceCube-Gen2 Collaboration: M. G. Aartsen et al
(Journal) Submitted to Computer Physics Communications; e-print archive arXiv:1803.05390 [physics.data-an], 14 March 2018

Measurement of Atmospheric Neutrino Oscillations at 6-56 GeV with IceCube DeepCore 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Physical Review Letters 120 (2018) 071801; e-print archive arXiv:1707.07081 [hep-ex]

Measurement of the Multi-TeV Neutrino Cross Section with IceCube Using Earth Absorption 
The IceCube Collaboration: M. G. Aartsen et al
(Journal) Nature 551 (2017) 596-600; erratum ibid, 554 (2018) 554, 22 February 2018

Constraints on Ultrahigh-Energy Cosmic-Ray Sources from a Search for Neutrinos Above 10 PeV with IceCube 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Physical Review Letters 117 (2016) 241101; e-print archive arXiv:1607.05886 [hep-ex]; erratum ibid 119 (2017) 259902(E), 21 December 2017

Constraints on Galactic Neutrino Emission with Seven Years of IceCube Data 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Astrophysical Journal 849 (2017) 67; e-print archive arXiv:1707.03416 [hep-ex]

Multiwavelength Follow-up of a Rare IceCube Neutrino Multiplet 
IceCube, ASAS-SN, The Astrophysical Multimessenger Observatory Network, Fermi, HAWC, LCO, MASTER, Swift, VERITAS: M. G. Aartsen et al
(Journal) Astronomy and Astrophysics 607 (2017) A115; e-print archive arXiv:1702.06131 [astro-ph.HE]

Search for High-energy Neutrinos from Binary Neutron Star Merger GW170817 with ANTARES, IceCube, and the Pierre Auger Observatory 
Antares, IceCube, Pierre Auger, LIGO Scientific, and Virgo Collaborations: A. Albert et al
(Journal) Astrophysical Journal Letters 850 (2017) L35; e-print archive arXiv:1710.05839 [astro-ph.HE]

Measurement of the Latex expression: \nu_\mu Energy Spectrum with IceCube-79 
IceCube Collaboration: M. G. Aartsen et al
(Journal) European Physical Journal C77 (2017) 692; e-print archive arXiv:1705.07780 [astro-ph.HE]

Multi-messenger Observations of a Binary Neutron Star Merger 
B. P. Abbott et al
(Journal) Astrophysical Journal Letters 848 (2017) L12

Search for Astrophysical Sources of Neutrinos Using Cascade Events in IceCube 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Astrophysical Journal 846 (2017) 136; e-print archive arXiv:1705.02383 [astro-ph.HE]

Search for Neutrinos from Dark Matter Self-Annihilations in the Center of the Milky Way with 3 years of IceCube/DeepCore 
IceCube Collaboration: M. G. Aartsen et al
(Journal) European Physical Journal C77 (2017) 627; e-print archive arXiv:1705.08103 [hep-ex], 23 May 2017

Extending the Search for Muon Neutrinos Coincident with Gamma-Ray Bursts in IceCube Data 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Astrophysical Journal 843 (2017) 112; e-print archive arXiv:1702.06868 [astro-ph.HE]

Search for High-energy Neutrinos from Gravitational Wave Event GW151226 and Candidate LVT151012 with ANTARES and IceCube 
ANTARES, IceCube, LIGO Scientific, and Virgo Collaborations
(Journal) Physical Review D96 (2017) 022005; e-print archive arXiv:1703.06298 [astro-ph.HE]

Search for Sterile Neutrino Mixing Using Three Years of IceCube DeepCore Data 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Physical Review D95 (2017) 112002; e-print archive arXiv:1702.05160 [hep-ex]

The IceCube Realtime Alert System 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Astroparticle Physics 92 (2017) 30-41; e-print archive arXiv:1612.06028 [astro-ph.HE]

PINGU: A Vision for Neutrino and Particle Physics at the South Pole 
IceCube-Gen2 Collaboration: M. G. Aartsen et al
(Journal) Journal of Physics G44 (2017) 054006; e-print archive arXiv:1607.02671 [hep-ex]

Search for Annihilating Dark Matter in the Sun with 3 Years of IceCube Data 
IceCube Collaboration: M. G. Aartsen et al
(Journal) European Physical Journal C77 (2017) 146; e-print archive arXiv:1612.05949 [astro-ph.HE]

The IceCube Neutrino Observatory: Instrumentation and Online Systems 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Journal of Instrumentation 12 (2017) P03012; e-print archive arXiv:1612.05093 [astro-ph.IM]

First Search for Dark Matter Annihilations in the Earth with the IceCube Detector 
IceCube Collaboration: M. G. Aartsen et al
(Journal) European Physical Journal C77 (2017) 82; e-print archive arXiv:1609.01492 [astro-ph.HE]

All-Sky Search for Time-Integrated Neutrino Emission from Astrophysical Sources with 7 Years of IceCube Data 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Astrophysical Journal 835 (2017) 151; e-print archive arXiv:1609.04981 [astro-ph.HE]

The Contribution of Fermi-2LAC Blazars to the Diffuse TeV-PeV Neutrino Flux 
IceCube Collaboration: M. G. Aartsen et al
(Journal) The Astrophysical Journal 835 (2017) 45; e-print archive arXiv:1611.03874 [astro-ph.HE]

Observation and Characterization of a Cosmic Muon Neutrino Flux from the Northern Hemisphere Using Six Years of IceCube Data 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Astrophysical Journal 833 (2016) 3; e-print archive arXiv:1607.08006 [astro-ph.HE]

Very High-Energy Gamma-Ray Follow-Up Program Using Neutrino Triggers from IceCube 
IceCube, MAGIC and VERITAS Collaborations: M. G. Aartsen et al
(Journal) Journal of Instrumentation 11 (2016) P11009; e-print archive arXiv:1610.01814 [hep-ex]

All-flavour Search for Neutrinos from Dark Matter Annihilations in the Milky Way with IceCube/DeepCore 
IceCube Collaboration: M. G. Aartsen et al
(Journal) European Physical Journal C76 (2016) 531; e-print archive arXiv:1606.00209 [astro-ph.HE]

Search for Sources of High Energy Neutrons with Four Years of Data from the IceTop Detector 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Astrophysical Journal 830 (2016) 129; e-print archive arXiv:1607.05614 [hep-ex]

Anisotropy in Cosmic-Ray Arrival Directions in the Southern Hemisphere with Six Years of Data from the IceCube Detector 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Astrophysical Journal 826 (2016) 220; e-print archive arXiv:1603.01227 [astro-ph.HE]

Searches for Sterile Neutrinos with the IceCube Detector 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Physical Review Letters 117 (2016) 071801; e-print archive arXiv:1605.01990 [astro-ph.HE]

High-energy neutrino astrophysics 
Francis Halzen
(Journal) Nature Phys. 13 (2016) no.3, 232-238

IceCube Seeks to Expand 
Francis Halzen and Spencer Klein
(Journal) CERN Courier 56 (2016) 40-41, no. 6, July/August 2016

An All-Sky Search for Three Flavors of Neutrinos from Gamma-Ray Bursts with the IceCube Neutrino Observatory 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Astrophysical Journal 824 (2016) 115; e-print archive arXiv:1601.06484 [astro-ph.HE]

High-Energy Neutrino Follow-Up Search of Gravitational Wave Event GW150914 with ANTARES and IceCube 
ANTARES, IceCube, LIGO Scientific and Virgo Collaborations: S. Adrián-Martínez et al
(Journal) Physical Review D93 (2016) 122010; e-print archive arXiv:1602.05411 [astro-ph.HE]

Lowering IceCube's Energy Threshold for Point Source Searches in the Southern Sky 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Astrophysical Journal Letters 824 (2016) L28; e-print archive arXiv:1605.00163 [astro-ph.HE]

Characterization of the Atmospheric Muon Flux in IceCube 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Astroparticle Physics 78 (2016) 1-17; e-print archive arXiv:1506.07981

First Combined Search for Neutrino Point-Sources in the Southern Hemisphere with the ANTARES and IceCube Neutrino Telescopes 
ANTARES and IceCube Collaborations: S. Adrián-Martínez et al
(Journal) Astrophysical Journal 823 (2016) 65; e-print archive arXiv:1511.02149

Improved Limits on Dark Matter Annihilation in the Sun with the 79-string IceCube Detector and Implications for Supersymmetry 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Journal of Cosmology and Astroparticle Physics, JCAP04 (2016) 022; e-print archive arXiv:1601.00653

Neutrino Oscillation Studies with IceCube-DeepCore 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Nuclear Physics B908 (2016) 161-177

Searches for Relativistic Magnetic Monopoles in IceCube 
IceCube Collaboration: M. G. Aartsen et al
(Journal) European Physical Journal C76 (2016) 133; e-print archive arXiv:1511.01350 [astro-ph.HE]

Search for Astrophysical Tau Neutrinos in Three Years of IceCube Data 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Physical Review D93 (2016) 022001; e-print archive arXiv:1509.06212 [astro-ph.HE]

Search for Correlations Between the Arrival Directions of IceCube Neutrino Events and Ultrahigh-Energy Cosmic Rays Detected by the Pierre Auger Observatory and the Telescope Array 
The IceCube, Pierre Auger and Telescope Array Collaborations: M. G. Aartsen et al
(Journal) Journal of Cosmology and Astroparticle Physics 01 (2016) 037; e-print archive arXiv:1511.09408 [astro-ph.HE]

Search for Transient Astrophysical Neutrino Emission with IceCube-DeepCore 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Astrophysical Journal 816 (2016) 75; e-print archive arXiv:1509.05029 [astro-ph.HE]

Search for Dark Matter Annihilation in the Galactic Center with IceCube-79 
IceCube Collaboration: M. G. Aartsen et al
(Journal) European Physical Journal C75 (2015) 492; e-print archive arXiv:1505.07259 [astro-ph.HE]

Detection of a Type IIn Supernova in Optical Follow-up Observations of IceCube Neutrino Events 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Astrophysical Journal 811 (2015) 52; e-print archive arXiv:1506.03115 [astro-ph.HE]

A Combined Maximum-Likelihood Analysis of the High-Energy Astrophysical Neutrino Flux Measured with IceCube 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Astrophysical Journal 809 (2015) 98; e-print archive arXiv:1507.03991 [astro-ph.HE]

Evidence for Astrophysical Muon Neutrinos from the Northern Sky with IceCube 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Physical Review Letters 115 (2015) 081102; e-print archive arXiv:1507.04005 [astro-ph.HE]

The IceCube Neutrino Observatory - Contributions to International Cosmic Ray Conference 2015 Part V: Neutrino Oscillations and Supernova Searches 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Contributions to the 34th International Cosmic Ray Conference, The Hague, The Netherlands, 30 July - 6 August 2015; e-print archive arXiv:1510.05227 [astro-ph.HE], 18 October 2015

Searches for Time Dependent Neutrino Sources with IceCube Data from 2008 to 2012 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Astrophysical Journal 807 (2015) 46; e-print archive arXiv:1503.00598 [astro-ph.HE]

Measurement of the Atmospheric Latex expression: \nu_e Spectrum with IceCube 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Physical Review D91 (2015) 122004; e-print archive arXiv:1504.03753 [astro-ph.HE]

Searches for Small-Scale Anisotropies from Neutrino Point Sources with Three Years of IceCube Data 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Astroparticle Physics 66 (2015) 39-52; doi:10.1016/j.astropartphys.2015.01.001; e-print archive arXiv:1408.0634 [astro-ph.HE]

Search for Prompt Neutrino Emission from Gamma-Ray Bursts with IceCube 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Astrophysical Journal Letters 805 (2015) L5; e-print archive arXiv:1412.6510 [hep-ex]

Determining Neutrino Oscillation Parameters from Atmospheric Muon Neutrino Disappearance with Three Years of IceCube DeepCore Data 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Physical Review D91 (2015) 072004; e-print archive arXiv:1410.7227 [hep-ex]

Flavor Ratio of Astrophysical Neutrinos above 35 TeV in IceCube 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Physical Review Letters 114 (2015) 171102; e-print archive arXiv:1502.03376 [astro-ph.HE]

Development of a General Analysis and Unfolding Scheme and its Application to Measure the Energy Spectrum of Atmospheric Neutrinos with IceCube 
IceCube Collaboration: M. G. Aartsen et al
(Journal) European Physical Journal C75 (2015) 116; e-print archive arXiv:1409.4535 [astro-ph.HE]

Atmospheric and Astrophysical Neutrinos above 1 TeV Interacting in IceCube 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Physical Review D91 (2015) 022001; e-print archive arXiv:1410.1749 [astro-ph.HE]

Multipole Analysis of IceCube Data to Search for Dark Matter Accumulated in the Galactic Halo 
IceCube Collaboration: M. G. Aartsen et al
(Journal) The European Physical Journal C75; e-print archive arXiv:1406.6868 [astro-ph.HE]

The IceProd Framework: Distributed Data Processing for the IceCube Neutrino Observatory 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Journal of Parallel and Distributed Computing 75 (2015); e-print archive arXiv:1311.5904 [cs.DC]

Cosmic neutrinos and more: IceCube's first three years 
Francis Halzen and Spencer Klein
(Journal) CERN Courier 54 (2014) 30-33, no. 10, December 2014

Searches for Extended and Point-like Neutrino Sources with Four Years of IceCube Data 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Astrophysical Journal 796 (2014) 109; e-print archive arXiv:1406.6757 [astro-ph.HE]

Multimessenger Search for Sources of Gravitational Waves and High-Energy Neutrinos: Results for Initial LIGO-Virgo and IceCube 
The IceCube, LIGO and Virgo Collaborations: M. G. Aartsen et al
(Journal) Physical Review D90 (2014) 102002; e-print archive arXiv:1407.1042 [astro-ph.HE]

IceCube 
Francis Halzen and Thomas K. Gaisser
(Journal) Annual Review of Nuclear and Particle Science, 64 (2014) 101-123

Observation of High-Energy Astrophysical Neutrinos in Three Years of IceCube Data 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Physical Review Letters 113 (2014) 101101; e-print archive arXiv:1405.5303 [astro-ph.HE]

Search for Non-Relativistic Magnetic Monopoles with IceCube 
IceCube Collaboration: M. G. Aartsen et al
(Journal) The European Physical Journal C74 (2014) 2938; e-print archive arXiv:1402.3460 [astro-ph.CO]

The Highest Energy Neutrinos: First Evidence for Cosmic Origin 
F. Halzen
(Journal) Astronomical Notes 335(5), 507-516 (2014); e-print: arXiv:1311.6350 [hep-ph]

Observation of the Cosmic-Ray Shadow of the Moon with IceCube 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Physical Review D89 (2014) 102004, 28 May 2014; e-print archive arXiv:1305.6811 [hep-ex]

Search for Neutrino-Induced Particle Showers with IceCube-40 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Physical Review D89 (2014) 102001, 1 May 2014; e-print archive arXiv:1312.0104 [astro-ph.HE]

Energy Reconstruction Methods in the IceCube Neutrino Telescope 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Journal of Instrumentation 9 (2014), P03009; e-print archive arXiv:1311.4767 [physics.ins-det]

Search for a Diffuse Flux of Astrophysical Muon Neutrinos with the IceCube 59-string Configuration 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Physical Review D89 (2014) 062007, 25 March 2014; e-print archive arXiv:1311.7048 [astro-ph.HE]

Improvement in Fast Particle Track Reconstruction with Robust Statistics 
IceCube Collaboration: M. G. Aartsen et al
(Journal) Nuclear Instruments and Methods A736 (2014) 143-149, doi:10.1016/j.nima.2013.10.074, 6 November 2013; e-print archive arXiv:1308.5501 [astro-ph.IM]
 

  • Stasik, Alexander Johannes; Hadzhamolla, Berk & Riemer-Sørensen, Signe (2026). Virtual Temperature Sensors in Power Transformers Using Neural Ordinary Differential Equations | PHM Society European Conference. Proceedings of the European Conference of the Prognostics and Health Management Society (PHME). 09(01). doi: 10.36001/phme.2026.v9i1.4991. Full text in Research Archive
  • Djupskås, Aslak; Riemer-Sørensen, Signe & Stasik, Alexander Johannes (2026). Unreliable Monte Carlo Dropout Uncertainty Estimation. Proceedings of Machine Learning Research (PMLR). 307, p. 106–114. doi: https:/proceedings.mlr.press/v307/djupskas26a.html. Full text in Research Archive
  • Hadzhamolla, Berk; Stasik, Alexander Johannes & Alaliyat, Saleh Abdel-Afou (2025). Modeling Dynamical Systems Using Neural ODEs: A Study On Scientific Machine Learning Models. In Scarpa, Marco; Cavalieri, Salvatore; Serrano, Salvatore & Vita, Fabrizio De (Ed.), Proceedings of the 39th ECMS International Conference on Modelling and Simulation (ECMS 2025), June 24th - June 27th, 2025, Catania, Italy. ECMS European Council for Modelling and Simulation. ISSN 9783937436869. doi: 10.7148/2025-0704. Full text in Research Archive
  • Kulseng, Ola Tangen; Miao, Stanley; Fuchs, Franz Georg & Stasik, Alexander Johannes (2025). QuantumReservoirPy: A Software Package for Time Series Prediction. Journal of Open Source Software (JOSS). 10(110). doi: 10.21105/joss.07994. Full text in Research Archive
  • Casolo, Simone; Stasik, Alexander Johannes; Zhang, Zhenyou & Riemer-Sørensen, Signe (2024). Testing Topological Data Analysis for Condition Monitoring of Wind Turbines. Proceedings of the European Conference of the Prognostics and Health Management Society (PHME). 8(1), p. 815–824. doi: 10.36001/phme.2024.v8i1.4117. Full text in Research Archive
  • Rimehaug, Atle Eskeland; Stasik, Alexander Johannes; Hagen, Espen; Billeh, Yazan N.; Siegle, Josh H. & Dai, Kael [Show all 10 contributors for this article] (2023). Uncovering circuit mechanisms of current sinks and sources with biophysical simulations of primary visual cortex. eLIFE. 12. doi: 10.7554/eLife.87169. Full text in Research Archive
  • Skaar, Jan-Eirik Welle; Haug, Nicolai; Stasik, Alexander Johannes; Einevoll, Gaute & Tøndel, Kristin (2023). Metamodelling of a two-population spiking neural network. PLoS Computational Biology. ISSN 1553-734X. 19(11). doi: 10.1371/journal.pcbi.1011625. Full text in Research Archive
  • Eidnes, Sølve; Stasik, Alexander Johannes; Sterud, Camilla; Bøhn, Eivind Eigil & Riemer-Sørensen, Signe (2023). Pseudo-Hamiltonian neural networks with state-dependent external forces. Physica D : Non-linear phenomena. ISSN 0167-2789. 446. doi: 10.1016/j.physd.2023.133673. Full text in Research Archive
  • Rimehaug, Atle Eskeland; Stasik, Alexander Johannes; Hagen, Espen; Siegle, Joshua H.; Dai, Kael & Olsen, Shawn R. [Show all 9 contributors for this article] (2022). Uncovering circuit mechanisms of current sinks and sources with biophysical simulations of primary visual cortex. BioRxiv. ISSN 0362-4331. doi: 10.1101/2022.02.22.481540. Full text in Research Archive
  • Skaar, Jan-Eirik Welle; Stasik, Alexander Johannes; Plesser, Hans Ekkehard; Einevoll, Gaute & Tøndel, Kristin (2022). Metamodelling of a two-population spiking neural network. BioRxiv. ISSN 0362-4331. doi: 10.1101/2022.09.05.506616. Full text in Research Archive
  • Fuchs, Franz Georg; Lye, Kjetil Olsen; Nilsen, Halvor Møll; Stasik, Alexander Johannes & Sartor, Giorgio (2022). Constraint Preserving Mixers for the Quantum Approximate Optimization Algorithm. Algorithms. 15(6). doi: 10.3390/a15060202. Full text in Research Archive
  • Waszak, Maryna; Moen, Terje; Eidnes, Sølve; Stasik, Alexander Johannes; Hansen, Anders & Bouquet, Gregory [Show all 12 contributors for this article] (2022). Data quality issues for vibration sensors: a case study in ferrosilicon production. In Nguyen, Phu Hong; Magnanini, Maria Chiara & Sen, Sagar (Ed.), Proceedings of the 2nd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things (SEA4DQ 2022). Association for Computing Machinery (ACM). ISSN 9781450394598. p. 22–23. doi: 10.1145/3549037.3561273. Full text in Research Archive
  • Hagen, Espen; Chambers, Anna; Einevoll, Gaute; Pettersen, Klas Henning; Enger, Rune & Stasik, Alexander Johannes (2021). RippleNet: a Recurrent Neural Network for Sharp Wave Ripple (SPW-R) Detection. Neuroinformatics. ISSN 1539-2791. 19, p. 493–514. doi: 10.1007/s12021-020-09496-2. Full text in Research Archive
  • Geddes, Justen; Einevoll, Gaute; Acar, Evrim & Stasik, Alexander Johannes (2020). Multi-Linear Population Analysis (MLPA) of LFP Data Using Tensor Decompositions. Frontiers in Applied Mathematics and Statistics. doi: 10.3389/fams.2020.00041. Full text in Research Archive
  • Skaar, Jan-Eirik Welle; Stasik, Alexander Johannes; Hagen, Espen; Ness, Torbjørn V & Einevoll, Gaute (2020). Estimation of neural network model parameters from local field potentials (LFPs). PLoS Computational Biology. ISSN 1553-734X. 16(3). doi: 10.1371/journal.pcbi.1007725. Full text in Research Archive
  • Dai, Kael; Gratiy, Sergey L.; Billeh, Yazan; Xu, Richard; Cai, Binghuang & Cain, Nicholas [Show all 12 contributors for this article] (2020). Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits. PLoS Computational Biology. ISSN 1553-734X. 16(11). doi: 10.1371/journal.pcbi.1008386. Full text in Research Archive
  • Hagen, Espen; Chambers, Anna; Einevoll, Gaute; Pettersen, Klas Henning; Enger, Rune & Stasik, Alexander Johannes (2020). RippleNet: A Recurrent Neural Network for Sharp Wave Ripple (SPW-R) Detection. BioRxiv. ISSN 0362-4331. doi: 10.1101/2020.05.11.087874. Full text in Research Archive

View all works in NVA

  • Meltzer, Sunniva; Eidnes, Sølve & Stasik, Alexander Johannes (2026). Learning partially observed systems with neural Hamiltonian ordinary differential equations. Full text in Research Archive
  • Stasik, Alexander Johannes & Fuchs, Franz Georg (2026). Quantum random walks for decision making and optimization. doi: https:/sites.google.com/view/neqst-qc4ds-workshop-2026/home. Full text in Research Archive
  • Halnes, Geir; Javaid, Anam; Solvang, Michael; Nichele, Stefano; Riegler, Michael & Singstad, Bjørn-Jostein [Show all 82 contributors for this article] (2025). Proceedings of NORA’s annual conference 2025. Nordic Machine Intelligence (NMI). 5(3), p. 1–14. doi: 10.5617/nmi.12551. Full text in Research Archive
  • Riemer-Sørensen, Signe; Stasik, Alexander Johannes; Hadzhamolla, Berk & Lund, Halvor (2025). Hybrid AI for power transformers​. Full text in Research Archive
  • Djupskås, Aslak; Stasik, Alexander Johannes & Riemer-Sørensen, Signe (2025). Unreliable Uncertainty Estimates with Monte Carlo Dropout. Full text in Research Archive
  • Leyos, Aaron de; Stasik, Alexander Johannes & Riemer-Sørensen, Signe (2025). Gaussian Process Kolmogorov-Arnold Networks for Probabilistic Multivariate Function Approximation. Full text in Research Archive
  • Stasik, Alexander Johannes & Bjervig, Joel (2025). AI-driven biological screening. Full text in Research Archive
  • Stasik, Alexander Johannes (2024). Reservoir computing: Possibilities and challenges. Full text in Research Archive
  • Riemer-Sørensen, Signe & Stasik, Alexander Johannes (2024). Hybrid AI for Energisektoren. Full text in Research Archive
  • Stasik, Alexander Johannes (2023). The Norwegian Quantum Landscape. Full text in Research Archive
  • Stasik, Alexander Johannes & Fuchs, Franz Georg (2023). QUantum reservoir computing. Full text in Research Archive
  • Eidnes, Sølve; Bøhn, Eivind Eigil; Lye, Kjetil Olsen; Myhr, Håkon Noren; Riemer-Sørensen, Signe & Stasik, Alexander Johannes [Show all 7 contributors for this article] (2023). Pseudo-Hamiltonian neural networks. Full text in Research Archive
  • Rimehaug, Atle Eskeland; Stasik, Alexander Johannes; Hagen, Espen; Billeh, Yazan; Siegle, Joshua H. & Dai, Kael [Show all 10 contributors for this article] (2022). Uncovering circuit mechanisms of current sinks and sources with biophysical simulations of primary visual cortex. Full text in Research Archive
  • Waszak, Maryna; Moen, Terje; Eidnes, Sølve; Stasik, Alexander Johannes; Hansen, Anders & Bouquet, Gregory [Show all 12 contributors for this article] (2022). Data quality issues for vibration sensors: a case study in ferrosilicon production. Full text in Research Archive
  • Riemer-Sørensen, Signe; Kjenstad, Dag & Stasik, Alexander Johannes (2022). Mer miljøvennlig transport med kunstig intelligens. [Journal]. Teknisk Ukeblad. Full text in Research Archive
  • Stasik, Alexander Johannes (2021). Quantum reservoir computing for machine learning. Full text in Research Archive
  • Stasik, Alexander Johannes (2020). Method of Blind Discovery Analyses Design at the Example of Neutrino Points Searches. Full text in Research Archive
  • Stasik, Alexander Johannes; Hagen, Espen; Skaar, Jan Eirik; Ness, Torbjørn V & Einevoll, Gaute (2019). Estimating parameters of biological neuronal networks using Convolutional Neural Networks. Full text in Research Archive
  • Hagen, Espen; Stasik, Alexander Johannes; Billeh, Yazan N.; Siegle, Joshua H.; Dai, Kael & Rimehaug, Atle Eskeland [Show all 14 contributors for this article] (2019). Comparing spikes and the local field potential (LFP) in V1 between experimental data and a comprehensive biophysical model. Full text in Research Archive
  • Hagen, Espen; Stasik, Alexander Johannes; Billeh, Yazan; Siegle, Joshua H.; Dai, Kael & Rimehaug, Atle Eskeland [Show all 14 contributors for this article] (2019). Comparing spikes and the local field potential (LFP) in V1 between experimental data and a comprehensive biophysical model. Full text in Research Archive
  • Stasik, Alexander Johannes; Hagen, Espen; Skaar, Jan Eirik; Ness, Torbjørn V & Einevoll, Gaute (2019). Estimating parameters of biological neuronal networks using Convolutional Neural Networks. Full text in Research Archive
  • Stasik, Alexander Johannes; Hagen, Espen; Skaar, Jan Eirik; Ness, Torbjørn V & Einevoll, Gaute (2019). Estimating parameters of biological neuronal networks using Convolutional Neural Networks. Full text in Research Archive
  • Stasik, Alexander Johannes (2019). What is machine learning and what does it have to do with statistics? Full text in Research Archive
  • Skaar, Jan-Eirik Welle; Hagen, Espen; Stasik, Alexander Johannes; Einevoll, Gaute & Ness, Torbjørn V (2018). Estimation of model parameters from LFPs of spiking neuron networks using deep learning. Full text in Research Archive
  • Dragly, Svenn-Arne; Mobarhan, Milad; Lepperød, Mikkel Elle; Tennøe, Simen; Stasik, Alexander Johannes & Fyhn, Marianne [Show all 8 contributors for this article] (2018). Exdir An alternative to HDF5 that uses Numpy files for data, YAML for metadata and simple directories to define the hierarchy. Full text in Research Archive
  • Stasik, Alexander Johannes; Mobarhan, Milad; Hagen, Espen & Einevoll, Gaute (2018). Generating Input from LGN for Simulation of Visual Cortex. Full text in Research Archive
  • Vang, Georg; Einevoll, Gaute Tomas; Stasik, Alexander Johannes & Beshkov, Kosio (2024). Exploration of reservoir computing and artificial neural network architectures as saliency detectors. Norges miljø- og biovitenskapelige universitet (NMBU). Full text in Research Archive

View all works in NVA

Published Feb. 14, 2018 2:14 PM - Last modified July 30, 2020 8:56 PM