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2023
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Injecting noise into a spiking neural network model of spatial learning to induce explorationBuhaiev, A.Applied Computer Science, Ruhr University Bochum, Germany
@bachelorsthesis{Buhaiev2023, author = {Buhaiev, Artem}, title = {Injecting noise into a spiking neural network model of spatial learning to induce exploration}, year = {2023}, }
Buhaiev, A. (2023, October). Injecting noise into a spiking neural network model of spatial learning to induce exploration. Applied Computer Science, Ruhr University Bochum, Germany.Modeling the targeted manipulation of behavior with reinforcement learningGerecke, J. T.Bachelor's thesis, IT Security, Ruhr University Bochum, Germany@bachelorthesis{Gerecke2023, author = {Gerecke, Julius Tim}, title = {Modeling the targeted manipulation of behavior with reinforcement learning}, school = {IT Security, Ruhr University Bochum, Germany}, month = {September}, year = {2023}, }
Gerecke, J. T. (2023, September). Modeling the targeted manipulation of behavior with reinforcement learning. Bachelor's thesis, IT Security, Ruhr University Bochum, Germany.Comparing recurrent and feed-forward reinforcement learning agents in a spatial working memory taskForchap, W.Applied Computer Science, Ruhr University Bochum, Germany@bachelorsthesis{Forchap2023, author = {Forchap, William}, title = {Comparing recurrent and feed-forward reinforcement learning agents in a spatial working memory task}, year = {2023}, }
Forchap, W. (2023, June). Comparing recurrent and feed-forward reinforcement learning agents in a spatial working memory task. Applied Computer Science, Ruhr University Bochum, Germany.Comparison of Monte Carlo tree search with a MiniMax algorithm in perfect information gamesKröcker, B.Computer Science, Ruhr University Bochum, Germany@bachelorsthesis{Kröcker2023, author = {Kröcker, Benjamin}, title = {Comparison of Monte Carlo tree search with a MiniMax algorithm in perfect information games}, year = {2023}, }
Kröcker, B. (2023, March). Comparison of Monte Carlo tree search with a MiniMax algorithm in perfect information games. Computer Science, Ruhr University Bochum, Germany.Studying the role of grid cell properties in spatial navigation with spiking neural networksBoughedda, I.Applied Computer Science, Ruhr University Bochum, Germany@bachelorsthesis{Boughedda2023, author = {Boughedda, Issam}, title = {Studying the role of grid cell properties in spatial navigation with spiking neural networks}, year = {2023}, }
Boughedda, I. (2023, January). Studying the role of grid cell properties in spatial navigation with spiking neural networks. Applied Computer Science, Ruhr University Bochum, Germany.2022
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Analyses of emerging representations in Supervised Learning of spatial tasks with Convolutional Neural NetworksMousavi, S.Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany
@mastersthesis{Mousavi2022, author = {Mousavi, Seyed}, title = {Analyses of emerging representations in Supervised Learning of spatial tasks with Convolutional Neural Networks}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {December}, year = {2022}, }
Mousavi, S. (2022, December). Analyses of emerging representations in Supervised Learning of spatial tasks with Convolutional Neural Networks. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.Learning hippocampal theta sequences with behavioral timescale synaptic plasticityKerscher, M.Applied Computer Science, Ruhr University Bochum, Germany@bachelorsthesis{Kerscher2022, author = {Kerscher, Marvin}, title = {Learning hippocampal theta sequences with behavioral timescale synaptic plasticity}, year = {2022}, }
Kerscher, M. (2022, August). Learning hippocampal theta sequences with behavioral timescale synaptic plasticity. Applied Computer Science, Ruhr University Bochum, Germany.A model of hippocampal theta sequences based on phase precession and behavioral time scale plasticityTomashevskaya, A.Applied Computer Science, Ruhr University Bochum, Germany@bachelorsthesis{Tomashevskaya2022, author = {Tomashevskaya, Anna}, title = {A model of hippocampal theta sequences based on phase precession and behavioral time scale plasticity}, year = {2022}, }
Tomashevskaya, A. (2022, August). A model of hippocampal theta sequences based on phase precession and behavioral time scale plasticity. Applied Computer Science, Ruhr University Bochum, Germany.The Influence of Stimulus Representations on Recognition MemoryPronoza, J.Master’s thesis, Medical Physics, TU Dortmund, Germany@mastersthesis{Pronoza2022, author = {Pronoza, Julia}, title = {The Influence of Stimulus Representations on Recognition Memory}, school = {Medical Physics, TU Dortmund, Germany}, month = {June}, year = {2022}, }
Pronoza, J. (2022, June). The Influence of Stimulus Representations on Recognition Memory. Master’s thesis, Medical Physics, TU Dortmund, Germany.Memory Modules for Deep LearningHark, N.Master’s thesis, Institute of Neural Computation, Ruhr University Bochum, Bochum, Germany@mastersthesis{Hark2022, author = {Hark, Niklas}, title = {Memory Modules for Deep Learning}, school = {Institute of Neural Computation, Ruhr University Bochum}, address = {Bochum, Germany}, month = {May}, year = {2022}, }
Hark, N. (2022, May). Memory Modules for Deep Learning. Master’s thesis, Institute of Neural Computation, Ruhr University Bochum, Bochum, Germany.Purification of fluorescence signals derived from widefield optical brain imaging using genetically encoded voltage indicatorsWeißbrodt, D. S.Master’s thesis, FACULTY OF ELECTRICAL ENGINEERING AND INFORMATION TECHNOLOGY@mastersthesis{Weißbrodt2022, author = {Weißbrodt, Deniz Stephanie}, title = {Purification of fluorescence signals derived from widefield optical brain imaging using genetically encoded voltage indicators}, school = {FACULTY OF ELECTRICAL ENGINEERING AND INFORMATION TECHNOLOGY}, month = {May}, type = {M.Sc. thesis}, year = {2022}, }
Weißbrodt, D. S. (2022, May). Purification of fluorescence signals derived from widefield optical brain imaging using genetically encoded voltage indicators. Master’s thesis, FACULTY OF ELECTRICAL ENGINEERING AND INFORMATION TECHNOLOGY.Anwendung eines Objektalgorithmus auf TextblöckenMarkl, S.Applied Computer Science, Ruhr University Bochum, Germany@bachelorsthesis{Markl2022, author = {Markl, Susanne}, title = {Anwendung eines Objektalgorithmus auf Textblöcken}, year = {2022}, }
Markl, S. (2022, March). Anwendung eines Objektalgorithmus auf Textblöcken. Applied Computer Science, Ruhr University Bochum, Germany.2021
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Spatial Representations in an Egocentric Navigation Task using Deep Reinforcement LearningAl-Dilaimi, S.Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany
@mastersthesis{Al-Dilaimi2021, author = {Al-Dilaimi, Saif}, title = {Spatial Representations in an Egocentric Navigation Task using Deep Reinforcement Learning}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {November}, year = {2021}, }
Al-Dilaimi, S. (2021, November). Spatial Representations in an Egocentric Navigation Task using Deep Reinforcement Learning. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.Training a deep reinforcement learning agent with prioritized experience replay on navigation tasksKellermann, N.Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany@bachelorthesis{Kellermann2021, author = {Kellermann, Nick}, title = {Training a deep reinforcement learning agent with prioritized experience replay on navigation tasks }, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {September}, year = {2021}, }
Kellermann, N. (2021, September). Training a deep reinforcement learning agent with prioritized experience replay on navigation tasks . Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.Understanding the effects of place field size in spatial navigation using a spiking neural networkSens, Y.Applied Computer Science, Ruhr University Bochum, Germany@bachelorsthesis{Sens2021, author = {Sens, Yorick}, title = {Understanding the effects of place field size in spatial navigation using a spiking neural network}, year = {2021}, }
Sens, Y. (2021, September). Understanding the effects of place field size in spatial navigation using a spiking neural network. Applied Computer Science, Ruhr University Bochum, Germany.Simulation of Spatial Behaviour using Spiking Neural NetworkMurugan, K. V.Master’s thesis, Computational Engineering, Ruhr University Bochum, Germany@mastersthesis{Murugan2021, author = {Murugan, Kaarthik Vellore}, title = {Simulation of Spatial Behaviour using Spiking Neural Network }, school = {Computational Engineering, Ruhr University Bochum, Germany}, month = {July }, year = {2021}, }
Murugan, K. V. (2021, July). Simulation of Spatial Behaviour using Spiking Neural Network . Master’s thesis, Computational Engineering, Ruhr University Bochum, Germany.Interaction of Ensembling and Double Descent in Deep Neural NetworksRath-Manakidis, P.Master’s thesis, Cognitive Science, Ruhr University Bochum, Germany@mastersthesis{Rath-Manakidis2021, author = {Rath-Manakidis, Pavlos}, title = {Interaction of Ensembling and Double Descent in Deep Neural Networks}, school = {Cognitive Science, Ruhr University Bochum, Germany}, month = {March}, year = {2021}, }
Rath-Manakidis, P. (2021, March). Interaction of Ensembling and Double Descent in Deep Neural Networks. Master’s thesis, Cognitive Science, Ruhr University Bochum, Germany. Retrieved from https://www.ini.rub.de/PEOPLE/wiskott/Reprints/RathManakidis-2021-MScThesis-DoubleDescent.pdfTraining State-Transition and Reward Models in Deep Neural Networks for Reinforcement LearningAltamimi, A.Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany@mastersthesis{Altamimi2021, author = {Altamimi, Aya}, title = {Training State-Transition and Reward Models in Deep Neural Networks for Reinforcement Learning}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {January}, year = {2021}, }
Altamimi, A. (2021, January). Training State-Transition and Reward Models in Deep Neural Networks for Reinforcement Learning. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.Decentralized Query Processing over Heterogeneous Sources of Knowledge GraphsHeling, L.Doctoral thesis, Karlsruhe Institute of Technology, Germany@phdthesis{Heling2021, author = {Heling, Lars}, title = {Decentralized Query Processing over Heterogeneous Sources of Knowledge Graphs}, school = {Karlsruhe Institute of Technology, Germany}, year = {2021}, }
Heling, L. (2021). Decentralized Query Processing over Heterogeneous Sources of Knowledge Graphs. Doctoral thesis, Karlsruhe Institute of Technology, Germany.Generative effects of extinction learning emerging from an embodied associative networkLazarova, S.Master’s thesis, Cognitive Science, Ruhr University Bochum, Germany@mastersthesis{Lazarova2021, author = {Lazarova, Sofia}, title = {Generative effects of extinction learning emerging from an embodied associative network}, school = {Cognitive Science, Ruhr University Bochum, Germany}, month = {January}, year = {2021}, }
Lazarova, S. (2021, January). Generative effects of extinction learning emerging from an embodied associative network. Master’s thesis, Cognitive Science, Ruhr University Bochum, Germany.Weiterentwicklung eines strukturierten und differenzierbaren Speichers für effizientes Reinforcement-LernenWeber, T.@masterthesis{Weber2021, author = {Weber, Tobias}, title = {Weiterentwicklung eines strukturierten und differenzierbaren Speichers für effizientes Reinforcement-Lernen}, year = {2021}, }
Weber, T. (2021). Weiterentwicklung eines strukturierten und differenzierbaren Speichers für effizientes Reinforcement-Lernen.Learning Latent Features using Stochastic Neural Networks on Graph Structured DataWeller, T.Doctoral thesis, Karlsruhe Institute of Technology, Germany@phdthesis{Weller2021, author = {Weller, Tobias}, title = {Learning Latent Features using Stochastic Neural Networks on Graph Structured Data}, school = {Karlsruhe Institute of Technology, Germany}, year = {2021}, }
Weller, T. (2021). Learning Latent Features using Stochastic Neural Networks on Graph Structured Data. Doctoral thesis, Karlsruhe Institute of Technology, Germany. Retrieved from https://nbn-resolving.org/urn:nbn:de:101:1-20210331045909693234562020
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Comparing Deep Reinforcement Learning Algorithms in Discrete and Continuous EnvironmentsDe Stefano, G.Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany
@mastersthesis{De Stefano2020, author = {De Stefano, Gianluca}, title = {Comparing Deep Reinforcement Learning Algorithms in Discrete and Continuous Environments}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {December}, year = {2020}, }
De Stefano, G. (2020, December). Comparing Deep Reinforcement Learning Algorithms in Discrete and Continuous Environments. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.Dynamical decoding of oscillatory neural activity during extinction learning using artificial neural networksGhazinouri, B.Master’s thesis, Physics, Ruhr University Bochum, Germany@mastersthesis{Ghazinouri2020, author = {Ghazinouri, Behnam}, title = {Dynamical decoding of oscillatory neural activity during extinction learning using artificial neural networks}, school = {Physics, Ruhr University Bochum, Germany}, month = {November}, year = {2020}, }
Ghazinouri, B. (2020, November). Dynamical decoding of oscillatory neural activity during extinction learning using artificial neural networks. Master’s thesis, Physics, Ruhr University Bochum, Germany.Deep Reinforcement Learning in Virtual Reality Environments Driven by Physics SimulationWoltersdorf, P.Applied Computer Science, Ruhr University Bochum, Germany@bachelorsthesis{Woltersdorf2020, author = {Woltersdorf, Philip}, title = {Deep Reinforcement Learning in Virtual Reality Environments Driven by Physics Simulation}, year = {2020}, }
Woltersdorf, P. (2020, October). Deep Reinforcement Learning in Virtual Reality Environments Driven by Physics Simulation. Applied Computer Science, Ruhr University Bochum, Germany.Examination of the Insufficiencies of Cycle-Consistent Adversarially Generated ImagesJanssen, L.Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany@bachelorthesis{Janssen2020, author = {Janssen, Lars}, title = {Examination of the Insufficiencies of Cycle-Consistent Adversarially Generated Images}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {September}, year = {2020}, }
Janssen, L. (2020, September). Examination of the Insufficiencies of Cycle-Consistent Adversarially Generated Images. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.Exploration of a continuous attractor model of grid cells with aligned conjunctive cells.Atak, M.Applied Computer Science, Ruhr University Bochum, Germany@bachelorsthesis{Atak2020, author = {Atak, Mehmet}, title = {Exploration of a continuous attractor model of grid cells with aligned conjunctive cells.}, year = {2020}, }
Atak, M. (2020, May). Exploration of a continuous attractor model of grid cells with aligned conjunctive cells. Applied Computer Science, Ruhr University Bochum, Germany.Spiking Network Model Of Hippocampus To Store And Recall Individual PatternsBharadwai, M.Master’s thesis, Cognitive Systems, University of Ulm, Germany@mastersthesis{Bharadwai2020, author = {Bharadwai, Maryada}, title = {Spiking Network Model Of Hippocampus To Store And Recall Individual Patterns}, school = {Cognitive Systems, University of Ulm, Germany}, month = {May}, year = {2020}, }
Bharadwai, M. (2020, May). Spiking Network Model Of Hippocampus To Store And Recall Individual Patterns. Master’s thesis, Cognitive Systems, University of Ulm, Germany.Development of a controller for corridor following based on visual inputs with deep reinforcement learningBachert, M.Applied Computer Science, Ruhr University Bochum, Germany@bachelorsthesis{Bachert2020, author = {Bachert, Marvin}, title = {Development of a controller for corridor following based on visual inputs with deep reinforcement learning}, year = {2020}, }
Bachert, M. (2020). Development of a controller for corridor following based on visual inputs with deep reinforcement learning. Applied Computer Science, Ruhr University Bochum, Germany.Fußgängerdetektion im autonomen Fahren durch für Menschengruppen optimierte Ansätze in tiefen neuronalen NetzenCzech, P.Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany@mastersthesis{Czech2020, author = {Czech, Phillip}, title = {Fußgängerdetektion im autonomen Fahren durch für Menschengruppen optimierte Ansätze in tiefen neuronalen Netzen}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {January}, year = {2020}, }
Czech, P. (2020, January). Fußgängerdetektion im autonomen Fahren durch für Menschengruppen optimierte Ansätze in tiefen neuronalen Netzen. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.Vergleich von Reinforcement Learning, Generative Adversarial Imitation Learning und Behavioral Cloning in einfachen ComputerspielenHelmig, D.Applied Computer Science, Ruhr University Bochum, Germany@bachelorsthesis{Helmig2020, author = {Helmig, Dominik}, title = {Vergleich von Reinforcement Learning, Generative Adversarial Imitation Learning und Behavioral Cloning in einfachen Computerspielen}, year = {2020}, }
Helmig, D. (2020). Vergleich von Reinforcement Learning, Generative Adversarial Imitation Learning und Behavioral Cloning in einfachen Computerspielen. Applied Computer Science, Ruhr University Bochum, Germany.Effekte serotonerger Rezeptoren auf die kortikale Aktivität der Maus durch Benutzung optogenetischer TechnikenNovosad, A.Master’s thesis, Fakultät für Biologie und Biotechnologie, Univ. of Bochum, Germany@mastersthesis{Novosad2020, author = {Novosad, Alexander}, title = {Effekte serotonerger Rezeptoren auf die kortikale Aktivität der Maus durch Benutzung optogenetischer Techniken}, school = {Fakultät für Biologie und Biotechnologie, Univ. of Bochum, Germany}, month = {January}, type = {M.Sc. thesis}, year = {2020}, }
Novosad, A. (2020, January). Effekte serotonerger Rezeptoren auf die kortikale Aktivität der Maus durch Benutzung optogenetischer Techniken. Master’s thesis, Fakultät für Biologie und Biotechnologie, Univ. of Bochum, Germany.Representational similarity of naturalistic stimuli from different categories in a deep neural networkSimon, R.Applied Computer Science, Ruhr University Bochum, Germany@bachelorsthesis{Simon2020, author = {Simon, Robin}, title = {Representational similarity of naturalistic stimuli from different categories in a deep neural network}, year = {2020}, }
Simon, R. (2020, January). Representational similarity of naturalistic stimuli from different categories in a deep neural network. Applied Computer Science, Ruhr University Bochum, Germany.Learning pose-invariant object representations using Power-SFAvan Wickern, J.