Discussing computational and theoretical neuroscience publications
For the AI & NS J Club, there are no official presenters each time; instead, we present and discuss the paper in turns. This requires every attendee to read the paper in advance.
When: 10:00a on Fridays (monthly; dates to be determined each time)
Where: Fort Neuroscience Research Building 10102* (NRB, 10th floor; Medical Campus)
*Unless noted below
Organizer: Kaining Zhang (Tavoni lab, WashU Neuroscience) and Zeyuan Ye (Wessel lab, WashU Physics)
Note that individual events are listed on the ONR Calendar.
2024 Fall/Summer Schedule
Check back for the next scheduled journal club!
For inquiries contact Kaining Zhang at kaining@wustl.edu. Additionally, go here to add and/or view a list of potential papers to be discussed in the future.
June 7, 2024
“Generative Agents: Interactive Simulacra of Human Behavior” arXiv:2304.03442v2 [cs.HC] (2023)
July 5, 2024
“Task-dependent optimal representations for cerebellar learning” eLife (2023)
August 2, 2024
NOTE location: Fort Neuroscience Research Building 1100 (NRB 1st floor; Medical Campus)
“The hippocampus as a predictive map” Nature Neuroscience (2017)
September 13, 2024
NOTE location: Fort Neuroscience Research Building 9300 (NRB 9th floor; Medical Campus)
“Testing theory of mind in large language models and humans” Nature Human Behavior (2024)
November 1, 2024
“Schema formation in a neural population subspace underlies learning-to-learn in flexible sensorimotor problem-solving” Nature Neuroscience (2023)
June 8, 2023
“Neural representational geometry underlies few-shot concept learning” PNAS (2022)
July 6, 2023
“Learnable latent embeddings for joint behavioral and neural analysis” Nature (2023)
August 10, 2023
September 15, 2023
“Robust computation with rhythmic spike patterns” PNAS (2019)
October 20, 2023
“Interpreting the retinal neural code for natural scenes: From computations to neurons”
November 17, 2023
- “A unified theory for the computational and mechanistic origins of grid cells” Neuron (2023)
- “No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit” Conference Paper (2022)
January 5, 2024
“Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis” NeurIPS poster (2023)
February 9, 2024
“Inferring neural activity before plasticity as a foundation for learning beyond backpropagation”. Nature Neuroscience (2023)
April 5, 2024
“Natural language instructions induce compositional generalization in networks of neurons” Nature Neuroscience (2024)
May 10, 2024
“Better models of human high-level visual cortex emerge from natural language supervision with a large and diverse dataset” Nature Machine Intelligence (2023)