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
Journal club meetings take place on Wednesdays at 2 PM in the department conference room, LSB 575.
2024 Fall Schedule
- 9/4 Braden Brinkman
- 9/11 Jacob Crosser
- 9/18 Xiaoyu Yang
- 9/25 Tianshu Li
- 10/2 Siwei Wang
- 10/9 Srividya Pattisapu
- 10/16 Allison George
- 10/23 NA
- 10/30 Yuhan Zhang
- 11/6 Siddharth Paliwal
- 11/13 Liam Lang
- 11/20 Tai Yuan
- 11/27 NA
- 12/04 Giancarlo La Camera
2024 Fall Papers
9/4 Synapse-type-specific competitive Hebbian learning forms functional recurrent networks
9/11 Low-Dimensional Spatiotemporal Dynamics Underlie Cortex-wide Neural Activity
9/18 Theory of Coupled Neuronal-Synaptic Dynamics
10/9 Flexible multitask computation in recurrent networks utilizes shared dynamical motifs
10/30 Mice alternate between discrete strategies during perceptual decision-making
11/13 Recurrent dynamics of prefrontal cortex during context-dependent decision-making
11/20 Multiscale organization of neuronal activity unifies scale-dependent theories of brain function
