| Multiple classifier systems for the classification of audio-visual emotional states M Glodek, S Tschechne, G Layher, M Schels, T Brosch, S Scherer, ... International Conference on Affective Computing and Intelligent Interaction …, 2011 | 176 | 2011 |
| On Event-Based Optical Flow Detection T Brosch, S Tschechne, H Neumann Frontiers in Neuroscience 9 (137), 1-15, 2015 | 115 | 2015 |
| A generic framework for the inference of user states in human computer interaction S Scherer, M Glodek, G Layher, M Schels, M Schmidt, T Brosch, ... Journal on Multimodal User Interfaces 6 (3-4), 117-141, 2012 | 61 | 2012 |
| Computing with a Canonical Neural Circuits Model with Pool Normalization and Modulating Feedback T Brosch, H Neumann Neural Computation 26 (12), 2735-89, 2014 | 55 | 2014 |
| Reinforcement Learning of Linking and Tracing Contours in Recurrent Neural Networks T Brosch, H Neumann, PR Roelfsema PLoS Computational Biology 11 (10), e1004489, 2015 | 34 | 2015 |
| Interaction of Feedforward and Feedback Streams in Visual Cortex in a Firing-Rate Model of Columnar Computations T Brosch, H Neumann Neural Networks 54, 11-6, 2014 | 34 | 2014 |
| Multi-modal classifier-fusion for the recognition of emotions M Schels, M Glodek, S Meudt, S Scherer, M Schmidt, G Layher, ... Coverbal Synchrony in Human-Machine Interaction, 73, 2013 | 31 | 2013 |
| On Event-Based Motion Detection and Integration S Tschechne, T Brosch, R Sailer, N von Egloffstein, LI Abdul-Kreem, ... 8th International Conference on Bio-inspired Information and Communications …, 2014 | 17 | 2014 |
| Reversal Learning in Humans and Gerbils: Dynamic Control Network Facilitates Learning C Jarvers, T Brosch, A Brechmann, ML Woldeit, AL Schulz, FW Ohl, ... Frontiers in Neuroscience 10 (535), 1-17, 2016 | 16 | 2016 |
| Event-Based Optical Flow on Neuromorphic Hardware T Brosch, H Neumann BICT, 2015 | 16* | 2015 |
| Real-Time Biologically Inspired Action Recognition from Key Poses Using a Neuromorphic Architecture G Layher, T Brosch, H Neumann Frontiers in Neurobotics 11 (13), 1-21, 2017 | 10 | 2017 |
| Deep Learning Approach for Radar Applications C Neumann, T Brosch 21st International Radar Symposium (IRS), 28-30, 2020 | 9 | 2020 |
| The Brain’s Sequential Parallelism: Perceptual Decision-Making and Early Sensory Responses T Brosch, H Neumann LNCS, 41-50, 2012 | 8 | 2012 |
| Attention-Gated Reinforcement Learning in Neural Networks—A Unified View T Brosch, F Schwenker, H Neumann Artificial Neural Networks and Machine Learning–ICANN 2013 8131, 272-279, 2013 | 6 | 2013 |
| The Combination of HMAX and HOGs in an Attention Guided Framework for Object Localization T Brosch, H Neumann ICPRAM, 281-288, 2012 | 4 | 2012 |
| Visual Processing in Cortical Architecture from Neuroscience to Neuromorphic Computing T Brosch, S Tschechne, H Neumann LNCS 10078 (Brain-Inspired Computing 2015), 86-100, 2016 | 3 | 2016 |
| Towards a Mesoscopic-Level Canonical Circuit Definition for Visual Cortical Processing G Layher, T Brosch, H Neumann BICT, 2015 | 3 | 2015 |
| Social Signal Processing in Companion Systems - Challenges Ahead G Layher, S Tschechne, S Scherer, T Brosch, C Curio, H Neumann GI-Edition LNI 192, 239-53, 2011 | 3 | 2011 |
| Weighted Population Code for Low Power Neuromorphic Image Classification AJ Yepes, J Tang, S Saxena, T Brosch, A Amir IJCNN, 4294-301, 2016 | 2 | 2016 |
| Object Detection and Classification on Heterogeneous Datasets T Brosch, A Elshaarany ICPRAM, 307-12, 2019 | 1 | 2019 |
Heiko NeumannProfessor for Computer Science, Ulm University, Institute of Neural Information Processing在 uni-ulm.de 的电子邮件经过验证
