Challenges and Perspectives in Data Science
Current lecture plan
| No. | Lecturer | Titel | Date |
|---|---|---|---|
| 1. | Fabian Sinz | Introduction - In silico avatars for visual cortex | 28.10.2021 |
| 2. | Alex Gail | From structured to free behavior – challenges of system neuroscience in naturalistic settings | 4.11.2021 |
| 3. | Alex Ecker | Algorithms of vision: from brains to machines and back | 11.11.2021 |
| 4. | Florentin Wörgötter | Brain-Machine-Interfacing for closing the behavioral loop: Using neural signals to control robots and prostheses. | 18.11.2021 |
| 5. | Cornelia Schöne | t.b.a. | 25.11.2021 |
| 6. | Fred Wolf | Inferenz von circuit level optimierungsprinzipien aus multimodalen daten am beispiel cortical form vision | 2.12.2021 |
| 7. | Andreas Neef | Statistical analysis of information encoding in neurons and networks | 9.12.2021 |
| 8. | Michael Wibral | Neural information dynamics, concepts, estimation and statistical techniques | 16.12.2021 |
| 9. | Jan Clemens | Supervised and unsupervised analyses of acoustic signals and of behavior | 13.1.2022 |
| 10. | Annekathrin Schacht | Extra-retinal influences on visual perception | 20.1.2022 |
| 11. | Viola Priesemann | t.b.a. | 27.1.2021 |
| 12. | Jorge Jaramillo | t.b.a. | 3.2.2021 |
| 13. | Tim Gollisch | Analyzing the Neural Code of the Retina | 10.2.2021 |