☰

Jenia (Evgueni) Jitsev - Publications

Affiliations: 
Cortical Networks Max-Planck-Institute for Neurological Research, Jupiter, FL, United States 
Area:
Computational Neuroscience, Synaptic Plasticity, Intrinsic Plasticity, Cortical Microcircuits, Self-Organizing Neuronal Networks, Learning, Memory, Sleep, Memory Replay, Off-line Memory Reprocessing, Visual Cortex, Face Processing, Basal Ganglia
Website:
http://www.nf.mpg.de/cv/jenia-jitsev.html
Tree Info Grants Similar researchers PubMed Report error

11/23 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2014 Jitsev J. Fast rhythm cycles as atomic fragments of cortical processing and learning Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P136  0.322
2011 Sato YD, Jitsev J, Bornschein J, Pamplona D, Keck C, Von Der Malsburg C. A Gabor wavelet pyramid-based object detection algorithm Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6676: 232-240. DOI: 10.1007/978-3-642-21090-7_28  0.634
2010 Sato YD, Jitsev J, Burwick T, Von Der Malsburg C. Dynamic link models for global decision making with binding-by-synchrony Proceedings - 2010 2nd World Congress On Nature and Biologically Inspired Computing, Nabic 2010. 201-208. DOI: 10.1109/NABIC.2010.5716291  0.647
2010 Jitsev J, Von Der Malsburg C. Off-line memory reprocessing following on-line unsupervised learning strongly improves recognition performance in a hierarchical visual memory Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2010.5596765  0.551
2010 Sato YD, Jitsev J, Von Der Malsburg C. Visual object detection by specifying the scale and rotation transformations Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6444: 616-624. DOI: 10.1007/978-3-642-17534-3_76  0.733
2009 Jitsev J, von der Malsburg C. Experience-driven formation of parts-based representations in a model of layered visual memory. Frontiers in Computational Neuroscience. 3: 15. PMID 19862345 DOI: 10.3389/Neuro.10.015.2009  0.629
2009 Sato YD, Jitsev J, Burwick T, Malsburg Cvd. A global decision-making model via synchronization in macrocolumn units Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P365  0.713
2009 Jitsev J, Malsburg Cvd. Activity-dependent bidirectional plasticity and homeostasis regulation governing structure formation in a model of layered visual memory Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P207  0.405
2009 Sato YD, Jitsev J, Von Der Malsburg C. A visual object recognition system invariant to scale and rotation Neural Network World. 19: 529-544. DOI: 10.1007/978-3-540-87536-9_101  0.737
2009 Sato YD, Jitsev J, Von Der Malsburg C. A visual object recognition system invariant to scale and rotation Neural Network World. 19: 529-544.  0.737
1970 Jitsev J, Malsburg Cvd. Unsupervised learning of object identities and their parts in a hierarchical visual memory Frontiers in Computational Neuroscience. 3. DOI: 10.3389/Conf.Neuro.10.2009.14.125  0.449
Low-probability matches (unlikely to be authored by this person)
2016 Morita K, Jitsev J, Morrison A. Corticostriatal circuit mechanisms of value-based action selection: Implementation of reinforcement learning algorithms and beyond. Behavioural Brain Research. PMID 27173430 DOI: 10.1016/J.Bbr.2016.05.017  0.279
2011 Jitsev J. Self-generated off-line memory reprocessing on different layers of a hierarchical recurrent neuronal network Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P162  0.267
2011 Jitsev J, Malsburg Cvd. Off-line memory reprocessing in a recurrent neuronal network formed by unsupervised learning Nature Precedings. DOI: 10.1038/Npre.2011.5776.1  0.256
2011 Jitsev J, Tittgemeyer M. P9 Self-generated off-line memory reprocessing in a hierarchical recurrent neuronal network and its impact on learning Basal Ganglia. 1: 108. DOI: 10.1016/J.Baga.2011.06.010  0.243
2013 Jitsev J, Abraham N, Morrison A, Tittgemeyer M. Functional role of opponent, dopamine modulated D1/D2 plasticity in reinforcement learning Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P199  0.236
2015 Weidel P, Duarte R, Korvasová K, Jitsev J, Morrison A. ROS-MUSIC toolchain for spiking neural network simulations in a robotic environment Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-P169  0.223
2011 Gorbach NS, Schütte C, Melzer C, Goldau M, Sujazow O, Jitsev J, Douglas T, Tittgemeyer M. Hierarchical information-based clustering for connectivity-based cortex parcellation. Frontiers in Neuroinformatics. 5: 18. PMID 21977015 DOI: 10.3389/Fninf.2011.00018  0.219
2019 Sedona R, Cavallaro G, Jitsev J, Strube A, Riedel M, Benediktsson J. Remote Sensing Big Data Classification with High Performance Distributed Deep Learning Remote Sensing. 11: 3056. DOI: 10.3390/rs11243056  0.12
2014 Jitsev J. Self-generated off-line memory reprocessing strongly improves generalization in a hierarchical recurrent neural network Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8681: 659-666. DOI: 10.1007/978-3-319-11179-7-83  0.105
2012 Gorbach NS, Siep S, Jitsev J, Melzer C, Tittgemeyer M. Information-theoretic connectivity-based cortex parcellation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7263: 186-193. DOI: 10.1007/978-3-642-34713-9_24  0.092
2012 Jitsev J, Morrison A, Tittgemeyer M. Learning from positive and negative rewards in a spiking neural network model of basal ganglia Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2012.6252834  0.088
2012 Jitsev J, Abraham N, Morrison A, Tittgemeyer M. Learning from delayed reward und punishment in a spiking neural network model of basal ganglia with opposing D1/D2 plasticity Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7552: 459-466. DOI: 10.1007/978-3-642-33269-2_58  0.08
Hide low-probability matches.