Alexander J. Stasik

According to our database, Alexander J. Stasik authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

QuantumReservoirPy: A Software Package for Time Series Prediction.

Stanley Miao, Ola Tangen Kulseng, Alexander J. Stasik, Franz G. Fuchs

CoRR, 2024

2023

Metamodelling of a two-population spiking neural network.

Jan-Eirik W. Skaar, Nicolai Haug, Alexander J. Stasik, Gaute T. Einevoll, Kristin Tøndel

PLoS Comput. Biol., November, 2023

2022

Port-Hamiltonian Neural Networks with State Dependent Ports.

Sølve Eidnes, Alexander J. Stasik, Camilla Sterud, Eivind Bøhn, Signe Riemer-Sørensen

CoRR, 2022

Constraint Preserving Mixers for the Quantum Approximate Optimization Algorithm.

Franz G. Fuchs, Kjetil Olsen Lye, Halvor Møll Nilsen, Alexander J. Stasik, Giorgio Sartor

Algorithms, 2022

Data quality issues for vibration sensors: a case study in ferrosilicon production.

Maryna Waszak, Terje Moen, Sølve Eidnes, Alexander J. Stasik, Anders H. Hansen, Gregory Bouquet, Antoine Pultier, Xiang Ma, Idar Tørlen, Bjørn Henriksen, Arianeh Aamodt, Dumitru Roman

Proceedings of the 2nd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things, 2022

2021

RippleNet: a Recurrent Neural Network for Sharp Wave Ripple (SPW-R) Detection.

Espen Hagen, Anna R. Chambers, Gaute T. Einevoll, Klas H. Pettersen, Rune Enger, Alexander J. Stasik

Neuroinformatics, 2021

2020

Estimation of neural network model parameters from local field potentials (LFPs).

Jan-Eirik W. Skaar, Alexander J. Stasik, Espen Hagen, Torbjørn V. Ness, Gaute T. Einevoll

PLoS Comput. Biol., 2020

Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits.

Kael Dai, Sergey L. Gratiy, Yazan N. Billeh, Richard Xu, Binghuang Cai, Nicholas Cain, Atle E. Rimehaug, Alexander J. Stasik, Gaute T. Einevoll, Stefan Mihalas, Christof Koch, Anton Arkhipov

PLoS Comput. Biol., 2020

Multi-Linear Population Analysis (MLPA) of LFP Data Using Tensor Decompositions.

Justen Geddes, Gaute T. Einevoll, Evrim Acar, Alexander J. Stasik

Frontiers Appl. Math. Stat., 2020