Gatsby
Neuro JC bits
Other JCs
Past papers
- Attention
- Audition
- Decision theory
- Dynamics
- Hippocampus
- Learning
- Natural statistics
- Neural coding & computation
- Prefrontal
- Reinforcement Learning
- Sensory plasticity
- Vision / Recognition
- Other
- papers 2003
Courses
2005/2006ThN I | ThN II
2004/2005
ThN I | ThN II
| Tentative schedule for speakers. If you can't do it, please arrange swaps yourselves and let me know. | ||
| Date | Presenter | Topic |
| 5.10 | Máté | phase plane analysis |
| 30.11 | Pietro | sparse coding, vision |
| 9.12 | Jörg | correspondence-based object recognition |
| 12.1 | Peter D | conflict resolution by cognitive control mechanisms |
| 19.1 | Anne | encoding a temporally structured stimulus |
| 26.1 | Yasser | computing with line attractors |
| 2-9.2 | Jonathan | fast learning for deep belief nets |
| 16.2 | Quentin | state-space models from point-process observations |
| 23.2 | Quentin | learning learning curves |
| 2.3 | Richard | gaussian scale mixture models |
| 16.3 | Peggy | Bayes and attention in the visual cortex |
| 23.3 | All | Cosyne review |
| 6.4 | Misha | human action understanding |
| 13.4 | Reza | recurrent control of orientation tuning |
| 20.4 | Kai | rule learning in pfc |
| 27.4 | Máté | CA3 vs CA1 |
| 4.5 | Louise | Optimal sensory representation |
| 11.5 | Maneesh | Inferring network flow |
| 18.5 | Nathaniel | Bayesian fMRI analysis |