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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

Journal club meetings take place on Wednesdays at 2:30 PM in the comp neuro conference room, LSB 551.

2025 Fall Schedule

Date Presenter Paper
09/03  Braden Brinkman Coarse Graining, Fixed Points, and Scaling in a Large Population of Neurons
09/10 Vidya Pattisapu Metabolically regulated spiking could serve neuronal energy homeostasis and protect from reactive oxygen species
09/17 Jacob Crosser Quasiuniversal scaling in mouse-brain neuronal activity stems from edge-of-instability critical dynamics
09/24 Prerana Shrestha N/A
10/01 Siddharth Paliwal Chaotic neural dynamics facilitate probabilistic computations through sampling
10/08 Yuhan Zhang A cognitive map for value-guided choice in the ventromedial prefrontal cortex
10/15 [None - Cosyne deadline]  
10/22 Liam Lang Biologically informed cortical models predict optogenetic perturbations
10/29 Peter Bo Transitions in dynamical regime and neural mode during perceptual decisions
11/05 John Chan Stimulus-invariant aspects of the retinal code drive discriminability of natural scenes
11/12 Tai  
11/19 Siwei Wang  
11/26 [None - Thanksgiving]  
12/03 Giancarlo La Camera  

 

Past journal clubs