ecker-lab/burg2021_learning_divisive_normalization

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Python
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MIT License
Created over 3 years ago
Updated over 3 years ago

ecker-lab/burg2021_learning_divisive_normalization

ecker-lab

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Code for Max F. Burg et al. (2021): Learning Divisive Normalization in Primary Visual Cortex

object-centric-representation-benchmark

Code, data and benchmark from the paper "Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences".

TreeLearn

sensorium_2023

repo for the sensorium 2023 competition

Jupyter Notebook

robust-bdd

Code for Benson & Ecker (2020): Assessing out-of-domain generalization for robust building damage detection.

Learning_Vibrating_Plates

most-discriminative-stimuli

Code for Burg et al. ICLR (2024): Most discriminative stimuli for functional cell type clustering https://openreview.net/forum?id=9W6KaAcYlr

cnn-efficient-path-tracing

Source code for the paper "CNNs efficiently learn long-range dependencies"

mmo_frequency_response_prediction

Deep learning for frequency response prediction of a multimass oscillator

Jupyter Notebook