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Computational and Theoretical Neuroscience Journal Club at CNCD
As the tools in experiments neuroscience are rapidly developing, this is an important time to consider the broad trends and aims of the computational/theoretical works that are born alongside them. Our aim is to present and discuss papers that reflect these modern directions so that we may better understand how our own work fits into a global neuroscience picture. Some themes and topics that we hope to cover are:
- computational models of neural systems
- novel analysis tools for understanding neural recordings
- recent advances in theoretical neuroscience
- popular theories in neuroscience
2026 Spring Schedule
| Date | Presenter | Paper |
| 02/18 | Giancarlo La Camera | Distinct synaptic plasticity rules operate across dendritic compartments in vivo during learning |
| 02/25 | Braden Brinkman | Two views of the brain are reconciled by a unifying principle of maximal information processing |
| 03/04 | Srividya (Vidya) Pattisapu | Research presentation |
| 03/11 | [COSYNE TRAVEL] | |
| 03/18 | Yuhan Zhang | Dopamine encodes deep network teaching signals for individual learning trajectories |
| 03/25 | ||
| 04/01 | ||
| 04/08 | ||
| 04/15 | ||
| 04/22 | ||
| 04/29 | ||
| 05/06 |
