Della Daiyi Luo on Muck Rack

Della Daiyi Luo

Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Della Daiyi

Contact Della Daiyi, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Extended Poisson Gaussian-Process Latent Variable Model for Unsupervised Neural Decoding

|
By Della Daiyi Luo, Bapun Giri, Kamran Diba, Caleb Kemere
| biorxiv.org
Abstract Dimension reduction on neural activity paves a way for unsupervised neural decoding by dissociating the measurement of internal neural state repetition from the measurement of external variable tuning. With assumptions only on the smoothness of latent dynamics and of internal tuning curves, the Poisson Gaussian-process latent variable model (P-GPLVM) (Wu et al., 2017) is a powerful tool to discover the low-dimensional latent structure for high-dimensional spike trains.
Open in Who Shared Issue with article?
See all 1 articles

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Get in touch with Della Daiyi

Contact Della Daiyi, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack
 •  Privacy  •  Terms  •  Security and Legal  •   •   •   • 

© 2026 Muck Rack

SOC 2® Certified