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Showing results 1-24 of 24

2019
1 Halnes, Geir; Tennøe, Simen; Haug, Trude; Einevoll, Gaute; Weltzien, Finn-Arne; Hodne, Kjetil.
A computational model for gonadotropin releasing cells in the teleost fish medaka. PLoS Computational Biology 2019 ;Volume 15.(8)
UiO NMBU Untitled
 
2 Halnes, Geir; Tennøe, Simen; Haug, Trude Marie; Einevoll, Gaute T.; Weltzien, Finn-Arne; Hodne, Kjetil.
A computational model of the spontaneous activity of gonadotropin-releasing cells in the teleost fish medaka. 28th Annual Computational Neuroscience Meeting; 2019-07-13 - 2019-07-17
NMBU Untitled
 
3 Tennøe, Simen; Hodne, Kjetil; Haug, Trude Marie; Weltzien, Finn-Arne; Einevoll, Gaute T.; Halnes, Geir.
[Re] Fast-Activating Voltage- and Calcium-Dependent Potassium (BK) Conductance Promotes Bursting in Pituitary Cells: A Dynamic Clamp Study.. ReScience 2019 ;Volume 5.(1)
NMBU Untitled
 
2018
4 Dragly, Svenn-Arne; Mobarhan, Milad; Lepperød, Mikkel Elle; Tennøe, Simen; Fyhn, Marianne; Hafting, Torkel; Malthe-Sørenssen, Anders.
Experimental directory structure (Exdir): An alternative to HDF5 without introducing a new file format. Frontiers in Neuroinformatics 2018 ;Volume 12. p. -
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5 Dragly, Svenn-Arne; Mobarhan, Milad; Lepperød, Mikkel Elle; Tennøe, Simen; Stasik, Alexander Johannes; Fyhn, Marianne; Hafting, Torkel; Malthe-Sørenssen, Anders.
Exdir An alternative to HDF5 that uses Numpy files for data, YAML for metadata and simple directories to define the hierarchy. CNS2018, 27th Annual Computational Neuroscience Meeting; 2018-07-13 - 2018-07-18
UiO Untitled
 
6 Tennøe, Simen.
How to model effects of uncertain model parameters with Uncertainpy.. European Institute for Theoretical Neuroscience Spring School; 2018-03-19 - 2018-03-23
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7 Tennøe, Simen; Halnes, Geir; Einevoll, Gaute.
Uncertainpy: A Python toolbox for uncertainty quantification and sensitivity analysis of computational neuroscience models. Neuroinformatics 2018; 2018-08-09 - 2018-08-10
UiO NMBU Untitled
 
8 Tennøe, Simen; Halnes, Geir; Einevoll, Gaute.
Uncertainpy: A Python toolbox for uncertainty quantification and sensitivity analysis in computational neuroscience. Frontiers in Neuroinformatics 2018 ;Volume 12:49. p. 1-29
UiO NMBU Untitled
 
9 Winje, Ivan; Sheng, Xia; Hansson, Kenth-Arne; Solbrå, Andreas Våvang; Tennøe, Simen; Saatcioglu, Fahri; Bruusgaard, Jo C.; Gundersen, Kristian.
Cachexia does not induce loss of myonuclei or muscle fibres during xenografted prostate cancer in mice. Acta Physiologica 2018 p. 1-9
HK OUS UiO Untitled
 
2017
10 Dragly, Svenn-Arne; Mobarhan, Milad; Solbrå, Andreas Våvang; Tennøe, Simen; Hafreager, Anders; Malthe-Sørenssen, Anders; Fyhn, Marianne; Hafting, Torkel; Einevoll, Gaute.
Neuronify: An Educational Simulator for Neural Circuits. 2017 International Conference on Computational Science and Engineering - Software, Education, and Biomedical applications; 2017-10-23 - 2017-10-25
UiO Untitled
 
11 Dragly, Svenn-Arne; Mobarhan, Milad; Solbrå, Andreas Våvang; Tennøe, Simen; Hafreager, Anders; Malthe-Sørenssen, Anders; Fyhn, Marianne; Hafting, Torkel; Einevoll, Gaute.
Neuronify: An educational simulator for neural circuits. eNeuro 2017 ;Volume 4.(2:e0022-17.2017) p. 1-13
UiO NMBU Untitled
 
12 Lensjø, Kristian Kinden; Christensen, Ane Charlotte; Tennøe, Simen; Fyhn, Marianne; Hafting, Torkel.
Differential Expression and Cell-Type Specificity of Perineuronal Nets in Hippocampus, Medial Entorhinal Cortex and Visual Cortex Examined in the Rat and Mouse. eNeuro 2017 ;Volume 4.(3) p. 1-18
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13 Tennøe, Simen.
Hvordan kan vi modelere hjernen med en datamaskin?. Realfrokost; 2017-02-07
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14 Tennøe, Simen; Mobarhan, Milad; Dragly, Svenn-Arne; Solbrå, Andreas Våvang; Nederbragt, Alexander Johan.
Teaching modelling to first-year biology students. 2017 International Conference on Computational Science and Engineering - Software, Education, and Biomedical applications; 2017-10-23 - 2017-10-25
UiO Untitled
 
2016
15 Dragly, Svenn-Arne; Mobarhan, Milad; Solbrå, Andreas Våvang; Tennøe, Simen.
Neuronify: An educational app for simulation of neural circuits. Society for Neuroscience Annual Meeting 2016; 2016-11-12 - 2016-11-16
UiO Untitled
 
16 Mobarhan, Milad; Dragly, Svenn-Arne; Tennøe, Simen; Solbrå, Andreas Våvang.
Introduction to Computational Biology with Python. Utdanningsseminar; 2016-06-02 - 2016-06-03
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17 Mobarhan, Milad; Tennøe, Simen; Solbrå, Andreas Våvang.
Neuronify: a new tool for creating simple neural networks. Simula Summer School; 2016-06-16 - 2016-06-16
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18 Tennøe, Simen; Feinberg, Jonathan.
Chaospy: A modular implementation of Polynomial Chaos Expansions and Monte Carlo methods. SIAM Conference on Uncertainty Quantification 16; 2016-04-05 - 2016-04-08
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19 Tennøe, Simen; Feinberg, Jonathan; Langtangen, Hans Petter; Einevoll, Gaute; Halnes, Geir.
UncertainPy: A Python toolbox for uncertainty quantification of computational neuroscience models.. 4th National PhD Conference in Neuroscience; 2016-09-21 - 2016-09-23
UiO NMBU Untitled
 
20 Tennøe, Simen; Halnes, Geir; Lepperød, Mikkel Elle; Feinberg, Jonathan; Einevoll, Gaute; Langtangen, Hans Petter.
UncertainPy: A Python toolbox for uncertainty quantification in neural and neural-network models.. Neuroscience 2016 - Society For Neuroscience; 2016-11-12 - 2016-11-16
UiO NMBU Untitled
 
2015
21 Tennøe, Simen; Langtangen, Hans Petter; Einevoll, Gaute; Halnes, Geir.
How uncertain are predictions from neuroscience models?. Endringsmiljøseminar på Sundvolden; 2015-02-08 - 2015-02-09
UiO NMBU Untitled
 
22 Tennøe, Simen; Langtangen, Hans Petter; Einevoll, Gaute; Halnes, Geir.
When things go wrong: Uncertainty in neuroscience. 3rd National PhD Conference in Neuroscience; 2015-09-21 - 2015-09-23
UiO NMBU Untitled
 
23 Tennøe, Simen; Mobarhan, Milad; Dragly, Svenn-Arne; Solbrå, Andreas Våvang; Langtangen, Hans Petter.
CSE: Computing in Science Education. Endringsmiljøseminar på Sundvolden; 2015-02-08 - 2015-02-09
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2014
24 Tennøe, Simen; Feinberg, Jonathan.
Polynomial chaos expansions part 1-4. Geilo Winter School on Uncertainty Quantification for Physical Problems.; 2014-01-18 - 2014-01-23
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