Every other Thursday at 5:00-6:30pm (ET)
Virtual zoom link: https://mit.zoom.us/j/93901903687
Join
If you’d like to be added to the mailing list, please e-mail Sugandha Sharma (susharma@mit.edu), or Fernanda De La Torre (dlatorre@mit.edu). All are welcome.
Presentation tips
Let’s make a great journal club! Each club will be 50-60 minutes of presentation (expect questions) and 30 minutes of discussion.
Please read the paper before choosing, plan for 50-60 minutes of presenting, and follow these tips: presentation_checklist.pdf
Note that there is a chance that the author of the paper you are presenting is in the audience.
Current Meetings (Fall 2021)
| Date | Time | Theme | Presenting institution | Presenter | Reading Materials | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Nov 04 | 5-6:30pm (ET), 2-3:30pm (PT) | Connectomics | MIT | Mikail Khona and Mien Wang (Brabeeba) |
Using connectomics data to test theories of circuit function |
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| Nov 18 | 6-7:30pm (ET), 3-4:30pm (PT) | TBD | MIT and IBM | Giorgia Dellaferrera |
Towards Biologically Plausible Convolutional Networks |
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| Dec 08 | 5-7:30pm (ET), 2-3:30pm (PT) | TBD | Columbia | Francisco Salema Oom de Sacadura |
Recurrent neural circuits overcome partial inactivation by compensation and re-learning |
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| Dec 16 | 6-7:30pm (ET), 3-4:30pm (PT) | TBD | MIT | Leo Kozachkov | Generalized Shape Metrics on Neural Representations On the choice of metric in gradient-based theories of brain function |
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| Date | Time | Theme | Presenting institution | Presenter | Reading Materials | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| March 10 | 6-7:30pm (ET), 3-4:30pm (PT) | Theory | Berkeley | Ankit Kumar |
Transition to chaos in random neuronal networks Kadmon, Sompolinsky (arXiv 2015) |
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| March 17 | 6-7:30pm (ET), 3-4:30pm (PT) | Theory | MIT | Akshay Rangamani |
Brain computation by assemblies of neurons (Papadimitriou et al., 2020) |
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| March 31 | 6-7:30pm (ET), 3-4:30pm (PT) | Theory | MIT | Andrzej Banburski | Neural Collapse and Minority Collapse in Training Neural Networks (Papyan & Dohono,2020) (Fang et al.,2021) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| April 7 | 6-7:30pm (ET), 3-4:30pm (PT) | Theory | Stanford | Brandon Benson | Dynamics of Sparsely Connected Networks of Excitatory and Inhibitory Spiking Neurons (Brunel, 1999) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| April 14 | 6-7:30pm (ET), 3-4:30pm (PT) | Perception | Stanford | Javier C Weddington and Josh Melander |
The dynamic neural code of the retina for natural scenes |
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| April 21 | 6-7:30pm (ET), 3-4:30pm (PT) | Perception | Stanford | Austin Kuo |
Stimulus vignetting and orientation selectivity in human visual cortex |
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| April 28 | 6-7:30pm (ET), 3-4:30pm (PT) | Perception | MIT | Vinayak Agarwal |
The primacy of behavioral research for understanding the brain |
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| May 12 | 6-7:30pm (ET), 3-4:30pm (PT) | Reinforcement Learning | MIT | Gal Raz | Learning in Social Environments with Curious Neural Agents | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| May 26 | 6-7:30pm (ET), 3-4:30pm (PT) | Reinforcement Learning | Stanford | Merve Cerit | Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| June 2 | 6-7:30pm (ET), 3-4:30pm (PT) | Deep Learning/Biological Neural Nets | Stanford | Marianne Reddan | TBD | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| June 9 | 6-7:30pm (ET), 3-4:30pm (PT) | Deep Learning / Biological Neural Nets | Harvard | Shanshan Quin | Dynamics of drifting receptive fields during noisy representation learning. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| June 16 | 6-7:30pm (ET), 3-4:30pm (PT) | Deep Learning / Biological Neural Nets | Stanford | Gabriela Basel | TBD | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| June 23 | 6-7:30pm (ET), 3-4:30pm (PT) | Deep Learning / Biological Neural Nets | Stanford | Grace Huckins | Explanatory models in neuroscience: Part 1 -- taking mechanistic abstraction seriously Explanatory models in neuroscience: Part 2 -- constraint-based intelligibility | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Date | Time | Presenting institution | Presenter | Reading Materials | Zoom Link |
| Oct 14,2020 | 3-4:30pm (ET), 12-1:30pm (PT) | MIT/Harvard | Dar Gilboa |
Deep Networks and the Multiple Manifold Problem Buchanan, Gilboa, Wright (arXiv 2020) |
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| Oct 21,2020 | 3-4:30pm (ET), 12-1:30pm (PT) | Princeton | Misha Tsodyks |
Fundamental law of memory recall. Naim, Katkov, Romani, Tsodyks (Physical Review Letters 2020) And if time, an older paper: Verbal context and the recall of meaningful material. Miller and Selfridge (American J of Psych 1950) |
Replay video. |
| Oct 28, 2020 | 3-4:30pm (ET), 12-1:30pm (PT) | Stanford | Gabrielle Gutierrez, PhD |
Nonlinear convergence preserves information Gutierrez, Rieke, and Shea-Brown (bioRxiv 2020) |
Replay video. |
| Nov 4, 2020 | 3-4:30pm (ET), 12-1:30pm (PT) | MIT/Harvard | Wenhao Zhang | Inference and Representation in Circuit based Population Codes | View Recording Here!! |
| Nov 11, 2020 | 3-4:30pm (ET), 12-1:30pm (PT) | Princeton | Kamesh Krishnamurthy |
Theory of gating in recurrent neural networks. Krishnamurthy, Can, Schwab (arXiv 2020) |
Replay video. |
| Nov 18, 2020 | 3-4:30pm (ET), 12-1:30pm (PT) | Stanford | Tianmin Shu, PhD |
Adventures in Flatland: Perceiving Social Interactions Under Physical Dynamics Tianmin Shu, Marta Kryven, Tomer D. Ullman2, Joshua B. Tenenbaum (bioRxiv 2020) |
Watch Recording Here!! |
| Nov 25, 2020 | 3-4:30pm (ET), 12-1:30pm (PT) | MIT/Harvard | Martin Schrimpf | Integrative Benchmarking to Advance Neural Models of Vision and Language
[1] [2] [3] |
Watch Recording Here! |
| Dec 2, 2020 | 3-4:30pm (ET), 12-1:30pm (PT) | Princeton | Simon Segert |
A general model of hippocampal and dorsal striatal learning and decision making. Geerts, Chersi, Stachenfeld, Burgess (PNAS 2020) |
Video recording |
| Dec 9, 2020 | 3-4:30pm (ET), 12-1:30pm (PT) | Stanford | Jan Lui, PhD |
Differential encoding in prefrontal cortex projection neuron classes across cognitive tasks. Lui et. al. (BioRxiv 2020) |
Join Here! |
| Dec 16, 2020 | 3-4:30pm (ET), 12-1:30pm (PT) | MIT/Harvard | Leo Kozachkov | How do neural networks do the same thing twice?
[1] [2] [3] |
View recorded talk here! |