Blar i Brage NMBU på forfatter "Plesser, Hans Ekkehard"
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Connectivity concepts in neuronal network modeling
Senk, Johanna; Kriener, Birgit; Djurfeldt, Mikael; Voges, Nicole; Jiang, Han-Jia; Schüttler, Lisa; Gramelsberger, Gabriele; Diesmann, Markus; Plesser, Hans Ekkehard; van Albada, Sacha J. (Peer reviewed; Journal article, 2022) -
Constructing a vulnerability knowledge graph
Høst, Anders Mølmen (Master thesis, 2022)Attackers exploiting vulnerabilities in software can cause severe damage to affected victims. Despite continuous efforts of security experts, the number of reported vulnerabilities is increasing. As of January 2022, the ... -
Constructing neuronal network models in massively parallel environments
Ippen, Tammo; Eppler, Jochen Martin; Plesser, Hans Ekkehard; Diesmann, Markus (Journal article; Peer reviewed, 2017) -
Dynamics of self-sustained asynchronous-irregular activity in random networks of spiking neurons with strong synapses
Kriener, Birgit; Enger, Håkon; Tetzlaff, Tom; Plesser, Hans Ekkehard; Gewaltig, Marc-Oliver; Einevoll, Gaute Tomas (Journal article; Peer reviewed, 2014) -
Existence and detectability of very fast oscillations in spiking network models
Helin, Runar (Master thesis, 2019)Extremely high frequency oscillations are present in dynamics of different simulated neuronal networks, but are not yet observed in experimental recordings. This raises the question about the origin of these high frequency ... -
Exploration of delay discretization and rounding on neuronal network dynamics
Grønbekk, Nida (Master thesis, 2022)It is of great interest to try and simulate the neural activity in the human brain. This way one could possibly create models to help in diagnosing and treating disorders of the brain. This could lead to decreasing the ... -
Extending the functionality of the power law-based STDP synaptic model by implementing the support for delay value dominated by axonal propagation
Rengarajan, Sanjayan (Master thesis, 2022)Learning is conceptualized to be possible due to the reconfiguration of neural networks in the brain. This ability is referred to as neuroplasticity. One of the ways by which plasticity is observed can be explained by ... -
Firing-rate models for neurons with a broad repertoire of spiking behaviors
Heiberg, Thomas; Kriener, Birgit; Tetzlaff, Tom; Einevoll, Gaute; Plesser, Hans Ekkehard (Journal article; Peer reviewed, 2018) -
Machine learning for load prediction for a single transformer
Sønneland, Espen (Master thesis, 2019)Statnett is in a process to improve their algorithms for predicting the need for electrical power. In this thesis I tested the possibility of using machine learning to predict the active and reactive load for transformers ... -
Modellering av energibruk i store bygningsmasser ved bruk av kunstig intelligens
Bastas, Murat; Bergene, Sondre Johannes (Master thesis, 2020)I Norge var energiforbruket til husholdninger så mye som 30% av det totale nettoforbruket av elektrisk kraft i 2018. Dette henger sammen med at en stor andel av den totale bygningsmassen består av eldre bygninger med høyt ... -
Multiscale modeling of the early visual pathway
Heiberg, Thomas (PhD Thesis;2018:40, Doctoral thesis, 2018)The human brain contains billions of neurons connected through synapses, making it a highly complex system that researchers have been trying to understand for centuries. One way of increasing our understanding of the brain ... -
Performance analysis of neuronal network connectivity creation from complex rules
Adamu, Abdulhakeem Ayodele (Master thesis, 2022)This thesis investigates the performance of neuronal network connectivity instantiation during neuronal simulation. It is important to try and get the simulation times of neuronal networks closer to the actual biological ... -
Reproducibility vs. Replicability: A Brief History of a Confused Terminology
Plesser, Hans Ekkehard (Journal article; Peer reviewed, 2018) -
Some factors affecting the grades of technology students
Gregersen, Øyvind Weiby; Kløkstad, Geir Øivind; Hervik, Sigbjørn; Plesser, Hans Ekkehard; Pettersen, Ivar (Journal article; Peer reviewed, 2017) -
Spiking network simulation code for petascale computers
Kunkel, Susanne; Schmidt, Maximilian; Eppler, Jochen M; Plesser, Hans Ekkehard; Masumoto, Gen; Igarashi, Jun; Ishii, Shin; Fukai, Tomoki; Morrison, Abigail; Diesmann, Markus; Helias, Moritz (Journal article; Peer reviewed, 2014) -
A study of statistical and machine learning methods for power price prediction based on filling levels of hydropower reservoirs
Szalas, Joanna (Master thesis, 2022)The European power markets have become highly integrated over the past decade. The electrical grids of individual countries are increasingly well connected between each other, which allows for trading the electricity on ... -
Sustainable computational science: The ReScience Initiative
Rougier, Nicolas P; Hinsen, Konrad; Alexandre, Frederic; Arildsen, Thomas; Barba, Lorena A; Benureau, Fabien C.Y; Brown, C. Titus; deBuy, Pierre; Caglayan, Ozan; Davison, Andrew P.; Delsuc, Marc-Andre; Detorakis, Georgios; Diem, Alexandra; Drix, Damien; Enel, Pierre; Girard, Benoit; Guest, Olivia; Hall, Matt G; Henriques, Rafael N; Hinaut, Xavier; Jaron, Kamil S; Khamassi, Mehdi; Klein, Almar; Manninen, Tiina; Marchesi, Pietro; McGlinn, Daniel; Metzner, Christoph; Petchey, Owen; Plesser, Hans Ekkehard; Poisot, Timothee; Ram, Karthik; Ram, Yoav; Roesch, Etienne; Rossant, Cyrille; Rostami, Vahid; Shifman, Aaron; Stachelek, Joseph; Stimberg, Marcel; Stollmeier, Frank; Vaggi, Federico; Viejo, Guillaume; Vitay, Julien; Vostinar, Anya E; Yurchak, Roman; Zito, Tiziano (Journal article; Peer reviewed, 2017)