Alexander Johannes Stasik

Postdoctoral Fellow - Condensed Matter Physics
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Visiting address Sem Sælands vei 24 Fysikkbygningen 0371 OSLO
Postal address Postboks 1048 Blindern 0316 OSLO

Academic interests

I am interested in large scale neuronal network models, local field potentials and their dependence on network parameters, both in simulation and experiment.

I am also interested in artificial spiking neuron networks, deep learning and tensor decomposition.

 

Publications

  • Hagen, Espen; Stasik, Alexander Johannes; Billeh, Yazan N.; Siegle, Joshua H.; Dai, Kael; Rimehaug, Atle Eskeland; Ness, Torbjørn V; Røe, Malin Benum; Fyhn, Marianne; Hafting, Torkel; Koch, Christof; Olsen, Shawn R.; Einevoll, Gaute & Arkhipov, Anton (2019). Comparing spikes and the local field potential (LFP) in V1 between experimental data and a comprehensive biophysical model.
  • Hagen, Espen; Stasik, Alexander Johannes; Billeh, Yazan; Siegle, Joshua H.; Dai, Kael; Rimehaug, Atle Eskeland; Ness, Torbjørn V; Røe, Malin Benum; Fyhn, Marianne; Hafting, Torkel; Koch, Christof; Olsen, Shawn R.; Einevoll, Gaute & Arkhipov, Anton (2019). Comparing spikes and the local field potential (LFP) in V1 between experimental data and a comprehensive biophysical model.
  • Stasik, Alexander Johannes (2019). What is machine learning and what does it have to do with statistics?.
  • Stasik, Alexander Johannes; Hagen, Espen; Skaar, Jan Eirik; Ness, Torbjørn V & Einevoll, Gaute (2019). Estimating parameters of biological neuronal networks using Convolutional Neural Networks.
  • Stasik, Alexander Johannes; Hagen, Espen; Skaar, Jan Eirik; Ness, Torbjørn V & Einevoll, Gaute (2019). Estimating parameters of biological neuronal networks using Convolutional Neural Networks.
  • Stasik, Alexander Johannes; Hagen, Espen; Skaar, Jan Eirik; Ness, Torbjørn V & Einevoll, Gaute (2019). Estimating parameters of biological neuronal networks using Convolutional Neural Networks.
  • Dragly, Svenn-Arne; Mobarhan, Milad; Lepperød, Mikkel Elle; Tennøe, Simen; Stasik, Alexander Johannes; Fyhn, Marianne; Hafting, Torkel & Malthe-Sørenssen, Anders (2018). Exdir An alternative to HDF5 that uses Numpy files for data, YAML for metadata and simple directories to define the hierarchy.
  • 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.
  • Stasik, Alexander Johannes; Mobarhan, Milad; Hagen, Espen & Einevoll, Gaute (2018). Generating Input from LGN for Simulation of Visual Cortex.

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Published Feb. 14, 2018 2:14 PM - Last modified May 2, 2019 3:29 PM