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Title: FieteLab · GitHub

Open Graph Title: FieteLab

X Title: FieteLab

Description: Fiete Lab @ MIT. FieteLab has 24 repositories available. Follow their code on GitHub.

Open Graph Description: Fiete Lab @ MIT. FieteLab has 24 repositories available. Follow their code on GitHub.

X Description: Fiete Lab @ MIT. FieteLab has 24 repositories available. Follow their code on GitHub.

Opengraph URL: https://github.com/FieteLab

X: @github

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95 followers https://github.com/orgs/FieteLab/followers
https://fietelab.mit.edu/https://fietelab.mit.edu/
@FieteGrouphttps://twitter.com/FieteGroup
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README.mdhttps://github.com/FieteLab/.github/tree/master/profile/README.md
https://github.com/FieteLab#fiete-lab-research-projects
Grid Cell-Inspired Fragmentation and Recall for Efficient Map Buildinghttps://arxiv.org/abs/2307.05793
[Code]https://github.com/FieteLab/FARMap
Neuro-Inspired Efficient Map Building via Fragmentation and Recallhttps://arxiv.org/abs/2310.17537
[Code]https://github.com/FieteLab/FARCuriosity
Model-Agnostic Measure of Generalization Difficultyhttps://arxiv.org/abs/2305.01034
[Code]https://github.com/FieteLab/inductive-bias-complexity
No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuithttps://www.biorxiv.org/content/10.1101/2022.08.07.503109v1
[Code]https://github.com/FieteLab/FieteLab-No-Free-Lunch
How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspectivehttps://arxiv.org/pdf/2106.08453.pdf
[Code]https://github.com/FieteLab/Wide-Network-Alignment
Streaming Inference for Infinite Feature Modelshttps://proceedings.mlr.press/v162/schaeffer22a.html
[Code]https://github.com/FieteLab/FieteLab-RIBP
Efficient Online Inference for Nonparametric Mixture Modelshttps://proceedings.mlr.press/v161/schaeffer21a.html
[Code]https://github.com/FieteLab/FieteLab-RCRP
Reverse-engineering recurrent neural network solutions to a hierarchical inference task for micehttps://proceedings.neurips.cc/paper/2020/file/30f0641c041f03d94e95a76b9d8bd58f-Paper.pdf
[Code]https://github.com/FieteLab/NeurIPS-2020-Reverse-Engineering-RNNs
Systematic errors in connectivity inferred from activity in strongly recurrent networkshttps://www.nature.com/articles/s41593-020-0699-2
[Code]https://github.com/abhranildas/neural-circuit-inference
VectorHaSH https://github.com/FieteLab/VectorHaSH
31 https://github.com/FieteLab/VectorHaSH/stargazers
11 https://github.com/FieteLab/VectorHaSH/forks
SPUD_Analysis-of-manifold-structure-in-head-direction-data https://github.com/FieteLab/SPUD_Analysis-of-manifold-structure-in-head-direction-data
15 https://github.com/FieteLab/SPUD_Analysis-of-manifold-structure-in-head-direction-data/stargazers
8 https://github.com/FieteLab/SPUD_Analysis-of-manifold-structure-in-head-direction-data/forks
MESH https://github.com/FieteLab/MESH
15 https://github.com/FieteLab/MESH/stargazers
1 https://github.com/FieteLab/MESH/forks
NeurIPS-2022-No-Free-Lunch https://github.com/FieteLab/NeurIPS-2022-No-Free-Lunch
15 https://github.com/FieteLab/NeurIPS-2022-No-Free-Lunch/stargazers
Grid-cell-continuous-attractor-models https://github.com/FieteLab/Grid-cell-continuous-attractor-models
12 https://github.com/FieteLab/Grid-cell-continuous-attractor-models/stargazers
5 https://github.com/FieteLab/Grid-cell-continuous-attractor-models/forks
torch-biopl-dev https://github.com/FieteLab/torch-biopl-dev
valmikikothare/bioplnnhttps://github.com/valmikikothare/bioplnn
12 https://github.com/FieteLab/torch-biopl-dev/stargazers
1 https://github.com/FieteLab/torch-biopl-dev/forks
fietelab.github.iohttps://github.com/FieteLab/fietelab.github.io
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multiregion-brain-modelhttps://github.com/FieteLab/multiregion-brain-model
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torch-biopl-devhttps://github.com/FieteLab/torch-biopl-dev
valmikikothare/bioplnnhttps://github.com/valmikikothare/bioplnn
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0https://github.com/FieteLab/torch-biopl-dev/issues
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ImageNet-RIBhttps://github.com/FieteLab/ImageNet-RIB
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VectorHaSHhttps://github.com/FieteLab/VectorHaSH
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GeneralAttractorsTheoryhttps://github.com/FieteLab/GeneralAttractorsTheory
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MADEhttps://github.com/FieteLab/MADE
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DCnethttps://github.com/FieteLab/DCnet
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