sensorium/CITATION.cff at master · lRomul/sensorium · GitHub

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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: ruslan1123@gmail.com
    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: v23.11.22
date-released: '2023-11-22'
doi: 10.5281/zenodo.10155151