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Jorg Conradt, Ph.D

Affiliations: 
 Neuroscientific System Theory Technische Universität München (TUM), München, Bayern, Germany 
Area:
Neuronal-Style Information Processing in Closed-Control-Loop Systems, Distributed Local Information Processing, Growing and Adaptive Networks of Computational Units, Neuromorphic Sensor Fusion and Distributed Actuator Networks, Event-Based Systems
Website:
http://www.nst.ei.tum.de/en/team/jorg-conradt/
Google:
"Jorg Conradt"
Bio:

- Assistant-Professor for Neuroscientific System Theory, TU Munich, Germany.
- May 2008 Ph.D. (Dr. sc.nat.) in Neuroinformatics, ETH Zürich, Switzerland.
- Feb. 2001 Diploma in Computer Engineering, TU-Berlin, Germany.
- May 2000 Master of Science in Computer Science with specialization in 'Robotics and Automation', University of Southern California, USA.

Mean distance: 14.44 (cluster 17)
 		SNBCP
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Parents

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Rodney J. Douglas grad student Universität Zürich
Stefan Schaal grad student (Robotree)

Children

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Cristian Axenie grad student Technische Universität München
Mohsen Firouzi grad student Technische Universität München
Indar Sugiarto grad student Technische Universität München
Nicolai Waniek grad student Technische Universität München
Marcello Mulas post-doc The University of Texas Health Science Center at Houston

Collaborators

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Publications

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Macdonald FLA, Lepora NF, Conradt J, et al. (2022) Neuromorphic Tactile Edge Orientation Classification in an Unsupervised Spiking Neural Network. Sensors (Basel, Switzerland). 22
Gallego G, Delbruck T, Orchard GM, et al. (2020) Event-based Vision: A Survey. Ieee Transactions On Pattern Analysis and Machine Intelligence
Chen G, Cao H, Conradt J, et al. (2020) Event-Based Neuromorphic Vision for Autonomous Driving: A Paradigm Shift for Bio-Inspired Visual Sensing and Perception Ieee Signal Processing Magazine. 37: 34-49
Chen G, Hong L, Dong J, et al. (2020) EDDD: Event-Based Drowsiness Driving Detection Through Facial Motion Analysis With Neuromorphic Vision Sensor Ieee Sensors Journal. 20: 6170-6181
Mirus F, Blouw P, Stewart TC, et al. (2019) An Investigation of Vehicle Behavior Prediction Using a Vector Power Representation to Encode Spatial Positions of Multiple Objects and Neural Networks. Frontiers in Neurorobotics. 13: 84
Chen G, Chen J, Lienen M, et al. (2019) FLGR: Fixed Length Gists Representation Learning for RNN-HMM Hybrid-Based Neuromorphic Continuous Gesture Recognition. Frontiers in Neuroscience. 13: 73
Tayeb Z, Fedjaev J, Ghaboosi N, et al. (2019) Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals. Sensors (Basel, Switzerland). 19
Sugiarto I, Axenie C, Conradt J. (2019) FPGA-Based Hardware Accelerator for an Embedded Factor Graph with Configurable Optimization Journal of Circuits, Systems, and Computers. 28: 1950031
Chen G, Bing Z, Rohrbein F, et al. (2019) Toward Brain-Inspired Learning With the Neuromorphic Snake-Like Robot and the Neurorobotic Platform Ieee Transactions On Cognitive and Developmental Systems. 11: 1-12
Behrenbeck J, Tayeb Z, Bhiri C, et al. (2018) Classification and regression of spatio-temporal signals using NeuCube and its realization on SpiNNaker neuromorphic hardware. Journal of Neural Engineering
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