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lRomul committed Nov 18, 2023
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19 changes: 19 additions & 0 deletions CITATION.cff
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cff-version: 1.2.0
title: Solution for Sensorium 2023 Competition
message: 'If you use this work, please cite it using these metadata.'
type: software
authors:
- given-names: Ruslan
family-names: Baikulov
email: [email protected]
orcid: 'https://orcid.org/0009-0003-4400-0619'
repository-code: 'https://github.com/lRomul/sensorium'
abstract: >-
This repository contains the winning solution for the Sensorium 2023 Competition.
The competition aimed to predict the activity of neurons in the primary visual
cortex of mice in response to videos. The proposed solution includes a novel
model architecture called DwiseNeuro and a training pipeline with a solid
cross-validation strategy and knowledge distillation.
license: MIT
version: v23.11.18
date-released: '2023-11-18'
6 changes: 5 additions & 1 deletion README.md
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<div align="center">

# Solution for Sensorium 2023 Competition

![header](data/readme_images/header.png)
[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE)

</div>

This repository contains the winning solution for the Sensorium 2023, part of the NeurIPS 2023 competition track.
The competition aimed to find the best model that can predict the activity of neurons in the primary visual cortex of mice in response to videos.
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