Publications
2023
René Larisch, Julien Vitay, and Fred H. Hamker (2023)
Detecting Anomalies in System Logs With a Compact Convolutional Transformer
IEEE Access 11, 113464-113479
doi:10.1109/ACCESS.2023.3323252
Javier Baladron, Julien Vitay, Torsten Fietzek, and Fred H. Hamker (2023)
The contribution of the basal ganglia and cerebellum to motor learning: A neuro-computational approach
PLoS Comput Biol 19(4): e1011024
doi:10.1371/journal.pcbi.1011024
2022
Carolin Scholl, Javier Baladron, Julien Vitay, and Fred H. Hamker (2022)
Enhanced Habit Formation in Tourette Patients Explained by Shortcut Modulation in a Hierarchical Cortico-Basal Ganglia Model
Brain Structure and Function 227, 1031-1050
doi:10.1007/s00429-021-02446-x
Oliver Maith, Helge Ülo Dinkelbach, Javier Baladron, Julien Vitay, and Fred H. Hamker (2022)
BOLD monitoring in the neural simulator ANNarchy
Frontiers in Neuroinformatics 16:790966
doi:10.3389/fninf.2022.790966
Helge Ülo Dinkelbach, Badr-Eddine Bouhlal, Julien Vitay, and Fred H. Hamker (2022)
Auto-selection of an optimal sparse matrix format in the neuro-simulator ANNarchy
Frontiers in Neuroinformatics 16:877945
doi:10.3389/fninf.2022.877945
Aida Farahani, Julien Vitay, and Fred H. Hamker (2022)
Deep Neural Networks for Geometric Shape Deformation
In: Bergmann, R., Malburg, L., Rodermund, S.C., Timm, I.J. (eds). KI 2022: Advances in Artificial Intelligence. Lecture Notes in Computer Science, vol 13404. Springer, Cham
doi:10.1007/978-3-031-15791-2_9
Nicolas Kuske, Marco Ragni, Florian Röhrbein, Julien Vitay, and Fred H. Hamker (2022)
Demands and potentials of different levels of neuro-cognitive models für human spatial cognition
In: E. Ferstl, L. Konieczny, & R. Stülpnagel (eds). Proceedings of KogWiss2022, the 15th Biannual Conference of the German Society for Cognitive Science (pp. 115-116)
doi:10.6094/UNIFR/229611
2021
Chaithanya Kumar Mummadi, Ranjitha Subramaniam, Robin Hutmacher, Julien Vitay, Volker Fischer, and Jan Hendrik Metzen (2021)
Does enhanced shape bias improve neural network robustness to common corruptions?
In: International Conference on Learning Representations (ICLR)
Aida Farahani, Julien Vitay, and Fred H. Hamker (2021)
Geometric Deep Learning and solutions for the industry
Workshop 3D-NordOst 2021. Tagungsband 23. Anwendungsbezogener Workshop zur Erfassung, Modellierung, Verarbeitung und Auswertung von 3D-Daten, Berlin, 02./03.12.2021: 105-113. ISBN: 978-3-942709-27-9
Payam Atoofi, Julien Vitay, and Fred H. Hamker (2021)
Geometric Deep Learning: Graph Neural Networks, Challenges, and Breakthroughs
Workshop 3D-NordOst 2021. Tagungsband 23. Anwendungsbezogener Workshop zur Erfassung, Modellierung, Verarbeitung und Auswertung von 3D-Daten, Berlin, 02./03.12.2021:115-124. ISBN: 978-3-942709-27-9
2020
Enrico Schröder, Mirko Mählisch, Julien Vitay, and Fred H. Hamker (2020)
Monocular 3D Object Detection Using Feature Map Transformation: Towards Learning Perspective-Invariant Scene Representations
In: 2020 Fourth IEEE International Conference on Robotic Computing (IRC)
doi:10.1109/IRC.2020.00066
Enrico Schröder, Sascha Braun, Mirko Mählisch, Julien Vitay, and Fred H. Hamker (2020)
Feature Map Transformation for Multi-sensor Fusion in Object Detection Networks for Autonomous Driving
In: Arai, K., Kapoor, S. (eds). Advances in Computer Vision. CVC 2019. Advances in Intelligent Systems and Computing, vol 944. Springer, Cham
doi:10.1007/978-3-030-17798-0_12
2019
Katharina Schmid, Julien Vitay, and Fred H. Hamker (2019)
Forward Models in the Cerebellum using Reservoirs and Perturbation Learning
In: 2019 Conference on Cognitive Computational Neuroscience, 13-16 September 2019, Berlin, Germany
doi:10.32470/CCN.2019.1139-0
Helge Ülo Dinkelbach, Julien Vitay, and Fred H. Hamker (2019)
Scalable simulation of rate-coded and spiking neural networks on shared memory systems
In: 2019 Conference on Cognitive Computational Neuroscience, 13-16 September 2019, Berlin, Germany
doi:10.32470/CCN.2019.1109-0
Valentin Forch, Julien Vitay, and Fred H. Hamker (2019)
Recurrent Spatial Attention for Facial Emotion Recognition
In Proceedings of Workshop Localize IT, Chemnitz Linux-Tage, Chemnitz (Germany).
2018
Francesc Villagrasa, Javier Baladron, Julien Vitay, Henning Schroll, Evan G. Antzoulatos, Earl K. Miller, and Fred H. Hamker (2018)
On the role of cortex-basal ganglia interactions for category learning: A neuro-computational approach
Journal of Neuroscience 38(44) 9551-9562
doi:10.1523/JNEUROSCI.0874-18.2018
Enrico Schröder, Mirko Mählisch, Julien Vitay, and Fred H. Hamker (2018)
Fusion of Camera and Lidar Data for Object Detection using Neural Networks
In Proceedings of 12. Workshop Fahrerassistenzsysteme und automatisiertes Fahren FAS 2018, 26-28.09.2018, Walting im Altmühltal (Germany). 138-146. Darmstadt:Uni-DAS e.V.
2017
Julien Vitay (2017)
On the role of dopamine in motivated behavior: a neuro-computational approach.
Habilitation (Technische Universität Chemnitz).
Lorenz Gönner, Julien Vitay, and Fred H. Hamker (2017)
Predictive Place-Cell Sequences for Goal-Finding Emerge from Goal Memory and the Cognitive Map: A Computational Model
Frontiers in Computational Neuroscience 11:84
doi:10.3389/fncom.2017.00084
Nicolas P. Rougier, Konrad Hinsen, Frédéric Alexandre, Thomas Arildsen, Lorena A. Barba, Fabien C.Y. Benureau, C. Titus Brown, Pierre de Buyl, Ozan Caglayan, Andrew P. Davison, Marc-André Delsuc, Georgios Detorakis, Alexandra K. Diem, Damien Drix, Pierre Enel, Benoît Girard, Olivia Guest, Matt G. Hall, Rafael N. Henriques, Xavier Hinaut, Kamil S. Jaron, Mehdi Khamassi, Almar Klein, Tiina Manninen, Pietro Marchesi, Daniel McGlinn, Christoph Metzner, Owen Petchey, Hans Ekkehard Plesser, Timothée Poisot, Karthik Ram, Yoav Ram, Etienne Roesch, Cyrille Rossant, Vahid Rostami, Aaron Shifman, Joseph Stachelek, Marcel Stimberg, Frank Stollmeier, Federico Vaggi, Guillaume Viejo, Julien Vitay, Anya E. Vostinar, Roman Yurchak, and Tiziano Zito (2017)
Sustainable computational science: the ReScience initiative
PeerJ Computer Science 3:e142
doi:10.7717/peerj-cs.142
Winfried Lötzsch, Julien Vitay, and Fred H. Hamker (2017)
Training a deep policy gradient-based neural network with asynchronous learners on a simulated robotic problem
In: Eibl, M. and Gaedke, M. (eds). INFORMATIK 2017. Gesellschaft für Informatik, Bonn. 2143-2154
doi:10.18420/in2017_214
2016
Julien Vitay (2016)
[Re] Robust timing and motor patterns by taming chaos in recurrent neural networks
Rescience, 2(1)
doi:10.5281/zenodo.159545
2015
Julien Vitay, Helge Ülo Dinkelbach, and Fred H. Hamker (2015)
ANNarchy: a code generation approach to neural simulations on parallel hardware
Frontiers in Neuroinformatics 9:19
doi:10.3389/fninf.2015.00019
2014
Julien Vitay and Fred H. Hamker (2014)
Timing and expectation of reward: a neuro-computational model of the afferents to the ventral tegmental area
Frontiers in Neurorobotics 8:4
doi:10.3389/fnbot.2014.00004
Henning Schroll, Julien Vitay, and Fred H. Hamker (2014)
Dysfunctional and compensatory synaptic plasticity in Parkinson’s disease
European Journal of Neuroscience, 39: 688-702
doi:10.1111/ejn.12434
2012
Helge Ü. Dinkelbach, Julien Vitay, and Fred H. Hamker (2012)
Comparison of GPU- and CPU-implementations of mean-firing rate neural networks on parallel hardware
Network: Computation in Neural Systems 23(4)
doi:10.3109/0954898X.2012.739292
Henning Schroll, Julien Vitay, and Fred H. Hamker (2012)
Working memory and response selection: A computational account of interactions among cortico-basalganglio-thalamic loops
Neural Networks, 26
doi:10.1016/j.neunet.2011.10.008
Julien Vitay and Fred H. Hamker (2012)
Basal Ganglia learning
In Encyclopedia of the Sciences of Learning. Seel, Norbert M. (ed).
doi:10.1007/978-1-4419-1428-6
2011
Julien Vitay and Fred H. Hamker (2011)
A Neuroscientific View on the Role of Emotions in Behaving Cognitive Agents
Künstliche Intelligenz 25(3)
doi:10.1007/s13218-011-0106-y
2010
Julien Vitay and Fred H. Hamker (2010)
A computational model of basal ganglia and its role in memory retrieval in rewarded visual memory tasks
Frontiers in Computational Neuroscience 4(13)
doi:10.3389/fncom.2010.00013
2009
Julien Vitay, Jérémy Fix, Frederik Beuth, Henning Schroll, and Fred H. Hamker (2009)
Biological Models of Reinforcement Learning
Künstliche Intelligenz 23(3)
2008
Julien Vitay and Fred H. Hamker (2008)
Sustained Activities and Retrieval in a Computational Model of the Perirhinal Cortex
Journal of Cognitive Neuroscience 20(11)
doi:10.1162/jocn.2008.20147
2007
Julien Vitay and Fred H. Hamker (2007)
On the role of dopamine in cognitive vision
In: Paletta, L., Rome, E. (eds). Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint. WAPCV 2007. Lecture Notes in Computer Science(), vol 4840. Springer, Berlin, Heidelberg
doi:10.1007/978-3-540-77343-6_23
2006
Julien Vitay (2006)
Emergence of sensorimotor functions on a numerical distributed neural substrate
PhD thesis (Université Henri-Poincaré Nancy-I)
Jérémy Fix, Julien Vitay, and Nicolas P. Rougier (2006)
A Distributed Computational Model of Spatial Memory Anticipation During a Visual Search Task
In: Butz, M.V., Sigaud, O., Pezzulo, G., Baldassarre, G. (eds). Anticipatory Behavior in Adaptive Learning Systems. ABiALS 2006. Lecture Notes in Computer Science(), vol 4520. Springer, Berlin, Heidelberg
doi:10.1007/978-3-540-74262-3_10
2005
Nicolas P. Rougier and Julien Vitay (2005)
Emergence of attention within a neural population
Neural Networks 19(5)
doi:10.1016/j.neunet.2005.04.004
Julien Vitay, Nicolas P. Rougier, and Frédéric Alexandre (2005)
A distributed model of spatial visual attention
In: Wermter, S., Palm, G., Elshaw, M. (eds). Biomimetic Neural Learning for Intelligent Robots. Lecture Notes in Computer Science(), vol 3575. Springer, Berlin, Heidelberg
doi:10.1007/11521082_4
Julien Vitay (2005)
Towards Teaching a Robot to Count
In: Berthouze, L., Kaplan, F., Kozima, H., Yano, H., Konczak, J., Metta, G., Nadel, J., Sandini, G., Stojanov, G. and Balkenius, C. (eds). Proceedings of the Fifth International Workshop on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems. Lund University Cognitive Studies, 123. ISBN 91-974741-4-2
2023
René Larisch, Julien Vitay, and Fred H. Hamker (2023)
Detecting Anomalies in System Logs With a Compact Convolutional Transformer
IEEE Access 11, 113464-113479
doi:10.1109/ACCESS.2023.3323252
Javier Baladron, Julien Vitay, Torsten Fietzek, and Fred H. Hamker (2023)
The contribution of the basal ganglia and cerebellum to motor learning: A neuro-computational approach
PLoS Comput Biol 19(4): e1011024
doi:10.1371/journal.pcbi.1011024
2022
Carolin Scholl, Javier Baladron, Julien Vitay, and Fred H. Hamker (2022)
Enhanced Habit Formation in Tourette Patients Explained by Shortcut Modulation in a Hierarchical Cortico-Basal Ganglia Model
Brain Structure and Function 227, 1031-1050
doi:10.1007/s00429-021-02446-x
Oliver Maith, Helge Ülo Dinkelbach, Javier Baladron, Julien Vitay, and Fred H. Hamker (2022)
BOLD monitoring in the neural simulator ANNarchy
Frontiers in Neuroinformatics 16:790966
doi:10.3389/fninf.2022.790966
Helge Ülo Dinkelbach, Badr-Eddine Bouhlal, Julien Vitay, and Fred H. Hamker (2022)
Auto-selection of an optimal sparse matrix format in the neuro-simulator ANNarchy
Frontiers in Neuroinformatics 16:877945
doi:10.3389/fninf.2022.877945
2018
Francesc Villagrasa, Javier Baladron, Julien Vitay, Henning Schroll, Evan G. Antzoulatos, Earl K. Miller, and Fred H. Hamker (2018)
On the role of cortex-basal ganglia interactions for category learning: A neuro-computational approach
Journal of Neuroscience 38(44) 9551-9562
doi:10.1523/JNEUROSCI.0874-18.2018
2017
Lorenz Gönner, Julien Vitay, and Fred H. Hamker (2017)
Predictive Place-Cell Sequences for Goal-Finding Emerge from Goal Memory and the Cognitive Map: A Computational Model
Frontiers in Computational Neuroscience 11:84
doi:10.3389/fncom.2017.00084
Nicolas P. Rougier, Konrad Hinsen, Frédéric Alexandre, Thomas Arildsen, Lorena A. Barba, Fabien C.Y. Benureau, C. Titus Brown, Pierre de Buyl, Ozan Caglayan, Andrew P. Davison, Marc-André Delsuc, Georgios Detorakis, Alexandra K. Diem, Damien Drix, Pierre Enel, Benoît Girard, Olivia Guest, Matt G. Hall, Rafael N. Henriques, Xavier Hinaut, Kamil S. Jaron, Mehdi Khamassi, Almar Klein, Tiina Manninen, Pietro Marchesi, Daniel McGlinn, Christoph Metzner, Owen Petchey, Hans Ekkehard Plesser, Timothée Poisot, Karthik Ram, Yoav Ram, Etienne Roesch, Cyrille Rossant, Vahid Rostami, Aaron Shifman, Joseph Stachelek, Marcel Stimberg, Frank Stollmeier, Federico Vaggi, Guillaume Viejo, Julien Vitay, Anya E. Vostinar, Roman Yurchak, and Tiziano Zito (2017)
Sustainable computational science: the ReScience initiative
PeerJ Computer Science 3:e142
doi:10.7717/peerj-cs.142
2016
Julien Vitay (2016)
[Re] Robust timing and motor patterns by taming chaos in recurrent neural networks
Rescience, 2(1)
doi:10.5281/zenodo.159545
2015
Julien Vitay, Helge Ülo Dinkelbach, and Fred H. Hamker (2015)
ANNarchy: a code generation approach to neural simulations on parallel hardware
Frontiers in Neuroinformatics 9:19
doi:10.3389/fninf.2015.00019
2014
Julien Vitay and Fred H. Hamker (2014)
Timing and expectation of reward: a neuro-computational model of the afferents to the ventral tegmental area
Frontiers in Neurorobotics 8:4
doi:10.3389/fnbot.2014.00004
Henning Schroll, Julien Vitay, and Fred H. Hamker (2014)
Dysfunctional and compensatory synaptic plasticity in Parkinson’s disease
European Journal of Neuroscience, 39: 688-702
doi:10.1111/ejn.12434
2012
Helge Ü. Dinkelbach, Julien Vitay, and Fred H. Hamker (2012)
Comparison of GPU- and CPU-implementations of mean-firing rate neural networks on parallel hardware
Network: Computation in Neural Systems 23(4)
doi:10.3109/0954898X.2012.739292
Henning Schroll, Julien Vitay, and Fred H. Hamker (2012)
Working memory and response selection: A computational account of interactions among cortico-basalganglio-thalamic loops
Neural Networks, 26
doi:10.1016/j.neunet.2011.10.008
2011
Julien Vitay and Fred H. Hamker (2011)
A Neuroscientific View on the Role of Emotions in Behaving Cognitive Agents
Künstliche Intelligenz 25(3)
doi:10.1007/s13218-011-0106-y
2010
Julien Vitay and Fred H. Hamker (2010)
A computational model of basal ganglia and its role in memory retrieval in rewarded visual memory tasks
Frontiers in Computational Neuroscience 4(13)
doi:10.3389/fncom.2010.00013
2009
Julien Vitay, Jérémy Fix, Frederik Beuth, Henning Schroll, and Fred H. Hamker (2009)
Biological Models of Reinforcement Learning
Künstliche Intelligenz 23(3)
2008
Julien Vitay and Fred H. Hamker (2008)
Sustained Activities and Retrieval in a Computational Model of the Perirhinal Cortex
Journal of Cognitive Neuroscience 20(11)
doi:10.1162/jocn.2008.20147
2005
Nicolas P. Rougier and Julien Vitay (2005)
Emergence of attention within a neural population
Neural Networks 19(5)
doi:10.1016/j.neunet.2005.04.004
2022
Aida Farahani, Julien Vitay, and Fred H. Hamker (2022)
Deep Neural Networks for Geometric Shape Deformation
In: Bergmann, R., Malburg, L., Rodermund, S.C., Timm, I.J. (eds). KI 2022: Advances in Artificial Intelligence. Lecture Notes in Computer Science, vol 13404. Springer, Cham
doi:10.1007/978-3-031-15791-2_9
Nicolas Kuske, Marco Ragni, Florian Röhrbein, Julien Vitay, and Fred H. Hamker (2022)
Demands and potentials of different levels of neuro-cognitive models für human spatial cognition
In: E. Ferstl, L. Konieczny, & R. Stülpnagel (eds). Proceedings of KogWiss2022, the 15th Biannual Conference of the German Society for Cognitive Science (pp. 115-116)
doi:10.6094/UNIFR/229611
2021
Chaithanya Kumar Mummadi, Ranjitha Subramaniam, Robin Hutmacher, Julien Vitay, Volker Fischer, and Jan Hendrik Metzen (2021)
Does enhanced shape bias improve neural network robustness to common corruptions?
In: International Conference on Learning Representations (ICLR)
Aida Farahani, Julien Vitay, and Fred H. Hamker (2021)
Geometric Deep Learning and solutions for the industry
Workshop 3D-NordOst 2021. Tagungsband 23. Anwendungsbezogener Workshop zur Erfassung, Modellierung, Verarbeitung und Auswertung von 3D-Daten, Berlin, 02./03.12.2021: 105-113. ISBN: 978-3-942709-27-9
Payam Atoofi, Julien Vitay, and Fred H. Hamker (2021)
Geometric Deep Learning: Graph Neural Networks, Challenges, and Breakthroughs
Workshop 3D-NordOst 2021. Tagungsband 23. Anwendungsbezogener Workshop zur Erfassung, Modellierung, Verarbeitung und Auswertung von 3D-Daten, Berlin, 02./03.12.2021:115-124. ISBN: 978-3-942709-27-9
2020
Enrico Schröder, Mirko Mählisch, Julien Vitay, and Fred H. Hamker (2020)
Monocular 3D Object Detection Using Feature Map Transformation: Towards Learning Perspective-Invariant Scene Representations
In: 2020 Fourth IEEE International Conference on Robotic Computing (IRC)
doi:10.1109/IRC.2020.00066
Enrico Schröder, Sascha Braun, Mirko Mählisch, Julien Vitay, and Fred H. Hamker (2020)
Feature Map Transformation for Multi-sensor Fusion in Object Detection Networks for Autonomous Driving
In: Arai, K., Kapoor, S. (eds). Advances in Computer Vision. CVC 2019. Advances in Intelligent Systems and Computing, vol 944. Springer, Cham
doi:10.1007/978-3-030-17798-0_12
2019
Katharina Schmid, Julien Vitay, and Fred H. Hamker (2019)
Forward Models in the Cerebellum using Reservoirs and Perturbation Learning
In: 2019 Conference on Cognitive Computational Neuroscience, 13-16 September 2019, Berlin, Germany
doi:10.32470/CCN.2019.1139-0
Helge Ülo Dinkelbach, Julien Vitay, and Fred H. Hamker (2019)
Scalable simulation of rate-coded and spiking neural networks on shared memory systems
In: 2019 Conference on Cognitive Computational Neuroscience, 13-16 September 2019, Berlin, Germany
doi:10.32470/CCN.2019.1109-0
Valentin Forch, Julien Vitay, and Fred H. Hamker (2019)
Recurrent Spatial Attention for Facial Emotion Recognition
In Proceedings of Workshop Localize IT, Chemnitz Linux-Tage, Chemnitz (Germany).
2018
Enrico Schröder, Mirko Mählisch, Julien Vitay, and Fred H. Hamker (2018)
Fusion of Camera and Lidar Data for Object Detection using Neural Networks
In Proceedings of 12. Workshop Fahrerassistenzsysteme und automatisiertes Fahren FAS 2018, 26-28.09.2018, Walting im Altmühltal (Germany). 138-146. Darmstadt:Uni-DAS e.V.
2017
Winfried Lötzsch, Julien Vitay, and Fred H. Hamker (2017)
Training a deep policy gradient-based neural network with asynchronous learners on a simulated robotic problem
In: Eibl, M. and Gaedke, M. (eds). INFORMATIK 2017. Gesellschaft für Informatik, Bonn. 2143-2154
doi:10.18420/in2017_214
2006
Jérémy Fix, Julien Vitay, and Nicolas P. Rougier (2006)
A Distributed Computational Model of Spatial Memory Anticipation During a Visual Search Task
In: Butz, M.V., Sigaud, O., Pezzulo, G., Baldassarre, G. (eds). Anticipatory Behavior in Adaptive Learning Systems. ABiALS 2006. Lecture Notes in Computer Science(), vol 4520. Springer, Berlin, Heidelberg
doi:10.1007/978-3-540-74262-3_10
2005
Julien Vitay (2005)
Towards Teaching a Robot to Count
In: Berthouze, L., Kaplan, F., Kozima, H., Yano, H., Konczak, J., Metta, G., Nadel, J., Sandini, G., Stojanov, G. and Balkenius, C. (eds). Proceedings of the Fifth International Workshop on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems. Lund University Cognitive Studies, 123. ISBN 91-974741-4-2
2012
Julien Vitay and Fred H. Hamker (2012)
Basal Ganglia learning
In Encyclopedia of the Sciences of Learning. Seel, Norbert M. (ed).
doi:10.1007/978-1-4419-1428-6
2007
Julien Vitay and Fred H. Hamker (2007)
On the role of dopamine in cognitive vision
In: Paletta, L., Rome, E. (eds). Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint. WAPCV 2007. Lecture Notes in Computer Science(), vol 4840. Springer, Berlin, Heidelberg
doi:10.1007/978-3-540-77343-6_23
2005
Julien Vitay, Nicolas P. Rougier, and Frédéric Alexandre (2005)
A distributed model of spatial visual attention
In: Wermter, S., Palm, G., Elshaw, M. (eds). Biomimetic Neural Learning for Intelligent Robots. Lecture Notes in Computer Science(), vol 3575. Springer, Berlin, Heidelberg
doi:10.1007/11521082_4
2017
Julien Vitay (2017)
On the role of dopamine in motivated behavior: a neuro-computational approach.
Habilitation (Technische Universität Chemnitz).
2006
Julien Vitay (2006)
Emergence of sensorimotor functions on a numerical distributed neural substrate
PhD thesis (Université Henri-Poincaré Nancy-I)