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)
 
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Publications

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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
Tayeb Z, Waniek N, Fedjaev J, et al. (2018) Gumpy: a python toolbox suitable for hybrid brain-computer interfaces. Journal of Neural Engineering
Everding L, Conradt J. (2018) Low-Latency Line Tracking Using Event-Based Dynamic Vision Sensors. Frontiers in Neurorobotics. 12: 4
Sugiarto I, Conradt J. (2018) Modular design of a factor-graph-based inference engine on a System-On-Chip (SoC) Microprocessors and Microsystems. 60: 53-64
Mirus F, Axenie C, Stewart TC, et al. (2018) Neuromorphic sensorimotor adaptation for robotic mobile manipulation: From sensing to behaviour Cognitive Systems Research. 50: 52-66
Milde MB, Blum H, Dietmüller A, et al. (2017) Obstacle Avoidance and Target Acquisition for Robot Navigation Using a Mixed Signal Analog/Digital Neuromorphic Processing System. Frontiers in Neurorobotics. 11: 28
Axenie C, Richter C, Conradt J. (2016) A Self-Synthesis Approach to Perceptual Learning for Multisensory Fusion in Robotics. Sensors (Basel, Switzerland). 16
Mulas M, Waniek N, Conradt J. (2016) Hebbian Plasticity Realigns Grid Cell Activity with External Sensory Cues in Continuous Attractor Models. Frontiers in Computational Neuroscience. 10: 13
Ghaderi VS, Mulas M, Pereira VF, et al. (2015) A wearable mobility device for the blind using retina-inspired dynamic vision sensors. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2015: 3371-3374
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