- Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building. Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete. TMLR 2024 (Featured Certification) [Code]
- Neuro-Inspired Efficient Map Building via Fragmentation and Recall. Jaedong Hwang, Zhang-Wei Hong, Eric Chen, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete. arXiv:2310.17537 [Code]
- Model-Agnostic Measure of Generalization Difficulty. Akhilan Boopathy, Kevin Liu, Jaedong Hwang, Shu Ge, Asaad Mohammedsaleh, Ila Fiete. ICML. 2023 [Code]
- No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit. Rylan Schaeffer, Mikail Khona, Ila Fiete. NeurIPS 2022 [Code]
- How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective. Akhilan Boopathy, Ila Fiete. ICML 2022 [Code]
- Streaming Inference for Infinite Feature Models. Rylan Schaeffer, Yilun Du, Gabrielle K Liu, Ila Fiete. ICML 2022 [Code]
- Efficient Online Inference for Nonparametric Mixture Models. Rylan Schaeffer, Blake Bordelon, Mikail Khona, Weiwei Pan, Ila Rani Fiete. UAI 2021 [Code]
- Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice. Rylan Schaeffer, Mikail Khona, Leenoy Meshulam, Brain Laboratory International, Ila Fiete. NeurIPS 2020 [Code]
- Systematic errors in connectivity inferred from activity in strongly recurrent networks. Abhranil Das, and Ila R. Fiete. Nature Neuroscience 2020 [Code]
FieteLab
Fiete Lab @ MIT
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- https://fietelab.mit.edu/
- @FieteGroup
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NeurIPS-2022-No-Free-Lunch
NeurIPS-2022-No-Free-Lunch PublicCode for NeurIPS 2022 No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit
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SPUD_Analysis-of-manifold-structure-in-head-direction-data
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torch-biopl-dev
torch-biopl-dev PublicForked from valmikikothare/bioplnn
A software toolkit to instantiate (and train) a wide variety of biologically plausible neural network models in PyTorch
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- torch-biopl-dev Public Forked from valmikikothare/bioplnn
A software toolkit to instantiate (and train) a wide variety of biologically plausible neural network models in PyTorch
FieteLab/torch-biopl-dev’s past year of commit activity - ImageNet-RIB Public
ImageNet-RIB Benchmark: Large Pre-Training Datasets Don't Guarantee Robustness after Fine-Tuning (NeurIPSW 2024)
FieteLab/ImageNet-RIB’s past year of commit activity - multiregion-brain-model Public
Code for A Multi-Region Brain Model to Elucidate the Role of Hippocampus in Spatially Embedded Decision-Making (ICML 2025)
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Code accompanying the manuscript "Flexible Context-Driven Sensory Processing in Dynamical Vision Models"
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Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity
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