| Robust augmented reality guidance with fluorescent markers in laparoscopic surgery E Wild, D Teber, D Schmid, T Simpfendörfer, M Müller, AC Baranski, ... International journal of computer assisted radiology and surgery 11, 899-907, 2016 | 42 | 2016 |
| From near-optimal bayesian integration to neuromorphic hardware: A neural network model of multisensory integration T Oess, MPR Löhr, D Schmid, MO Ernst, H Neumann Frontiers in Neurorobotics 14, 29, 2020 | 8 | 2020 |
| A Bio-Inspired Model of Sound Source Localization on Neuromorphic Hardware T Oess, M Löhr, C Jarvers, D Schmid, H Neumann 2020 2nd IEEE International Conference on Artificial Intelligence Circuits …, 2020 | 7 | 2020 |
| Canonical circuit computations for computer vision D Schmid, C Jarvers, H Neumann Biological Cybernetics 117 (4), 299-329, 2023 | 6 | 2023 |
| Motion integration and disambiguation by spiking V1-MT-MSTl feedforward-feedback interaction MPR Löhr, D Schmid, H Neumann 2019 International Joint Conference on Neural Networks (IJCNN), 1-9, 2019 | 6 | 2019 |
| Perceptual Motion Illusions as a Tool to Probe Neural Mechanisms of Motion Integration in the V1-MT-MSTl Feedforward-Feedback System D Schmid, M Löhr, H Neumann 2019 Conference on Cognitive Computational Neuroscience (CCN), 2019 | 1 | 2019 |
| Motion Integration and Disambiguation concerted by Feedforward-Feedback Interactions of V1-MT-MSTl MPR Löhr, D Schmid, H Neumann Journal of Vision 19 (10), 167c-167c, 2019 | 1 | 2019 |
| A thalamo-cortical blackboard model for coordinating visual mental routines D Schmid, DA Braun, H Neumann Journal of Vision 23 (9), 5807-5807, 2023 | | 2023 |
| Listen to the Brain–Auditory Sound Source Localization in Neuromorphic Computing Architectures D Schmid, T Oess, H Neumann Sensors 23 (9), 4451, 2023 | | 2023 |
| A Dynamical Model of Binding in Visual Cortex During Incremental Grouping and Search D Schmid, DA Braun, H Neumann MODVIS Workshop 2023: Computational and Mathematical Models in Vision, 2023 | | 2023 |
| Thalamo-Cortical Interaction for Incremental Binding in Mental Contour-Tracing D Schmid, H Neumann bioRxiv, 2023.12. 20.572705, 2023 | | 2023 |
| Talk session 6. Perceptual Organisation Mental Contour Tracing in a Neurodynamical Thalamo-Cortical Model of Attentional Binding D Schmid, H Neumann PERCEPTION 51, 60-61, 2022 | | 2022 |
| Task-Dependent Incremental Binding Explained by Cortico-Thalamo-Cortical Interactions – A Neuro-Dynamical Model of Mental Contour Tracing D Schmid, H Neumann 2022 Conference on Cognitive Computational Neuroscience (CCN), 2022 | | 2022 |
| Learning visual contour tracing in a deep recurrent network based on a cortical columnar architecture D Schmid, C Jarvers, H Neumann Journal of Vision 20 (11), 1216-1216, 2020 | | 2020 |
| Temporal Learning of Dynamics in Complex Neuron Models using Backpropagation C Jarvers, D Schmid, H Neumann 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | | 2019 |
| Robuste intraoperative Registrierung mit fluoreszierenden Markern für die computergestützte Laparoskopie E Wild, D Teber, D Schmid, T Simpfendörfer, M Müller, H Kenngott, ... Bildverarbeitung für die Medizin 2016: Algorithmen–Systeme–Anwendungen, 74-79, 2016 | | 2016 |
Heiko NeumannProfessor for Computer Science, Ulm University, Institute of Neural Information ProcessingGeverifieerd e-mailadres voor uni-ulm.de
