Skip to content

Course materials for the Modern Methods for Quantifying Behavior Course!

License

Notifications You must be signed in to change notification settings

anna-teruel/DLC-Cajal-Course

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Generic badge

Modern Methods for Quantifying Behavior

Dear participants, welcome 🙌 to the 2023 edition of the hands-on Neuroscience course Modern Methods for Quantifying Behavior

Here you will find all the course material 📚 you will need to complete your project.

Teaching Team for the second edition, anno 2023 🏆

(list is WIP!)

Role 🔥 Name 📛 Hub 🗺️📍 GitHub 🛠️ Twitter 🐥
Co - Director 🎖️ Alexander Mathis Geneva (CH) GitHub @TrackingPlumes
Co - Director 🎖️ Danbee Kim 🛰️ online GitHub @taunbot
Cajal Administrator 📝 Elena Drosti 🛰️ online
Teaching Assistant 🦅 Sofia Minano London (UK) GitHub @SofiMinano
Teaching Assistant 🦇 Jonas Håkansson 🛰️ online GitHub @ScientistJonas
Teaching Assistant 🐭 Andrada Marica 🛰️ online GitHub @andrada_marica
Teaching Assistant 🐭 Sabrina Benas Buenos Aires (ARG) GitHub @Sabrineiitor
Teaching Assistant 🖥️ Facundo Emina Buenos Aires (ARG) GitHub @facuemina
Teaching Assistant 🖥️ Nirel Kadzo Rwanda GitHub @Nirelkadzo
Teaching Assistant 🐀 Konrad Danielewski Geneva (CH) GitHub @Nyktofob
Teaching Assistant 🐟 Virginia Palieri 🛰️ online GitHub
Teaching Assistant 🔬 Aleksandra Gavrilova Okinawa (JP) GitHub @shura_gav
Teaching Assistant 🖥️ Anastasiia Filippova 🛰️ online GitHub @NasFilippova
Teaching Assistant 🐟 Shuhong Huang Munich (DE) GitHub @huang_shuhong
Teaching Assistant 🔬 Saffira Tjon Okinawa (JP) GitHub
Teaching Assistant 🐭 Anna Teruel-Sanchis València (ESP) GitHub @annateruel_
Teaching Assistant 🖥️ Guillermo Hidalgo Bochum (DE) GitHub @G_HidalgoGadea

Teaching Team for the first edition, anno 2022 🏆

Thanks to the whole teaching team for putting this together 🎉🎉🎉! Check out the Cajal course for the 2022 edition: Modern Methods for Quantifying Behavior

Role 🔥 Name 📛 Hub 🗺️📍 GitHub 🛠️ Twitter 🐥
Co - Director 🎖️ Alexander Mathis 🛰️ online GitHub @TrackingPlumes
Co - Director 🎖️ Danbee Kim 🛰️ online GitHub @taunbot
Cajal Administrator 📝 Elena Drosti 🛰️ online
Teaching Assistant 🦅 Sofia Minano London (UK) GitHub @SofiMinano
Teaching Assistant 🐭 Nicole Vissers London (UK) GitHub @NicoleVissers1
Teaching Assistant 🦇 Jonas Håkansson Colorado Springs (USA) GitHub @ScientistJonas
Teaching Assistant 🐦 Neslihan Wittek 🛰️ online GitHub @taubenmaedel
Teaching Assistant 🐭 Andrada Marica 🛰️ online GitHub @andrada_marica
Teaching Assistant 🐭 Sabrina Benas Buenos Aires (ARG) GitHub @Sabrineiitor
Teaching Assistant 🐤 Cecilia Herbert Buenos Aires (ARG) GitHub @ChuckleScience
Teaching Assistant 🖥️ Facundo Emina Buenos Aires (ARG) GitHub @facuemina
Teaching Assistant 🖥️ Nirel Kadzo Nairobi (KEN) GitHub @Nirelkadzo
Teaching Assistant 🐭 Zane Mitrevica 🛰️ online GitHub @Zanemit
Teaching Assistant 🐀 Konrad Danielewski Warsaw (PL) GitHub @Nyktofob
Teaching Assistant 🐟 Virginia Palieri Munich (DE) GitHub
Teaching Assistant 🖥️ Aleksandar Gavric 🛰️ online GitHub @AcaGavric
Teaching Assistant 🔬 Aleksandra Gavrilova Okinawa (JP) GitHub @shura_gav
Teaching Assistant 🖥️ Anastasiia Filippova 🛰️ online GitHub @NasFilippova
Teaching Assistant 🐟 Shuhong Huang Munich (DE) GitHub @huang_shuhong
Teaching Assistant 🔬 Saffira Tjon Okinawa (JP) GitHub

Acknowledgments

Naturally this material is partially based on DeepLabCut's Jupyter book as well as DeepLabCut in general. The same license applies.

See contributors for a list of individual contributors! In particular, thanks to the whole teaching team for putting this together.

This course received much support from the CAJAL Advance Neuroscience Training Programme. Have a look HERE and follow them @Cajal_Training for updates!

We are grateful for funding by the ChanZuckerberg Initiative: Essential Open Source Software for Science. Thanks!

About

Course materials for the Modern Methods for Quantifying Behavior Course!

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • TeX 99.4%
  • Shell 0.6%