Talmo Pereira
@talmo.bsky.social
PI @ Salk Institute → talmolab.org | PhD @Princeton | BS @ UMBC
Quantifying biological motion with sleap.ai
Quantifying biological motion with sleap.ai
Reposted by Talmo Pereira
📣 SPEAKER SPOTLIGHT: Learn about quantifying and modeling behavior using #DeepLearning from @talmo.bsky.social.
➡️ Apply to attend: www.jax.org/education-an...
#MachineLearning #Neuroskyence
➡️ Apply to attend: www.jax.org/education-an...
#MachineLearning #Neuroskyence
September 24, 2025 at 12:33 PM
📣 SPEAKER SPOTLIGHT: Learn about quantifying and modeling behavior using #DeepLearning from @talmo.bsky.social.
➡️ Apply to attend: www.jax.org/education-an...
#MachineLearning #Neuroskyence
➡️ Apply to attend: www.jax.org/education-an...
#MachineLearning #Neuroskyence
There isn't yet BUT the BRAIN Initiative BBQS just funded two key projects to fill this gap:
BARD.CC (reporter.nih.gov/project-deta... ): Data and software coordinating center
and
EMBER (reporter.nih.gov/project-deta... ): A behavior-oriented data archive
They're both by folks in the DANDI network
BARD.CC (reporter.nih.gov/project-deta... ): Data and software coordinating center
and
EMBER (reporter.nih.gov/project-deta... ): A behavior-oriented data archive
They're both by folks in the DANDI network
RePORT ⟩ RePORTER
reporter.nih.gov
December 5, 2024 at 10:52 PM
There isn't yet BUT the BRAIN Initiative BBQS just funded two key projects to fill this gap:
BARD.CC (reporter.nih.gov/project-deta... ): Data and software coordinating center
and
EMBER (reporter.nih.gov/project-deta... ): A behavior-oriented data archive
They're both by folks in the DANDI network
BARD.CC (reporter.nih.gov/project-deta... ): Data and software coordinating center
and
EMBER (reporter.nih.gov/project-deta... ): A behavior-oriented data archive
They're both by folks in the DANDI network
Reposted by Talmo Pereira
4/ 🛠 To dig deeper, we used machine learning (@talmo.bsky.social SLEAP 🧠🤖) to track reward competition behavior. It revealed hidden differences like CD1 mice pressing against the reward port more than C57. These subtle behaviors could shape how we understand social competition.
November 25, 2024 at 5:23 PM
4/ 🛠 To dig deeper, we used machine learning (@talmo.bsky.social SLEAP 🧠🤖) to track reward competition behavior. It revealed hidden differences like CD1 mice pressing against the reward port more than C57. These subtle behaviors could shape how we understand social competition.