Ryan Senne (he/him)
@ryguy.io
Computational Neuroscience Ph.D. Student @ Boston University. Labs of Dr. Brian DePasquale, Ben Scott, & Steve Ramirez. #JuliaLang stan.
And also thanks to @zachloschin.bsky.social and fellow bluesky-less authors for making this happen with me! Of course also a huge shout out to the @julialang.org, the friendliest OSS community ever created. Our GitHub: github.com/depasquale-l...
GitHub - depasquale-lab/StateSpaceDynamics.jl: Julia library for fitting and analyzing state space models. Provides efficient implementations of various SSMs including the canonical Gaussian LDS (Kalm...
Julia library for fitting and analyzing state space models. Provides efficient implementations of various SSMs including the canonical Gaussian LDS (Kalman Filter/Smoother), Poisson LDS, HMMs, etc....
github.com
November 14, 2025 at 4:29 PM
And also thanks to @zachloschin.bsky.social and fellow bluesky-less authors for making this happen with me! Of course also a huge shout out to the @julialang.org, the friendliest OSS community ever created. Our GitHub: github.com/depasquale-l...
but Julia has not...until now! This project was incredibly fun and really was a labor of love. Please check us out on GitHub! We are still in active development so the model offerings are only bigger! Special thanks to @briandepasquale.bsky.social for being a phenomenal mentor for this project!
November 14, 2025 at 4:29 PM
but Julia has not...until now! This project was incredibly fun and really was a labor of love. Please check us out on GitHub! We are still in active development so the model offerings are only bigger! Special thanks to @briandepasquale.bsky.social for being a phenomenal mentor for this project!
Great gerbil content Estelle!
October 31, 2025 at 5:23 PM
Great gerbil content Estelle!
Huge thanks to my advisors and collaborators @briandepasquale.bsky.social , @okaysteve.bsky.social, and the bluesky-less Ben Scott and Cristina Delgado-Sallent
June 10, 2025 at 3:33 PM
Huge thanks to my advisors and collaborators @briandepasquale.bsky.social , @okaysteve.bsky.social, and the bluesky-less Ben Scott and Cristina Delgado-Sallent
Using a state-dependent framework via an HMM, we extend the vanilla Drift-Diffusion Model (DDM) to capture trial-by-trial changes in decisions strategy. With this model we find mice actively explore the speed-accuracy tradeoff, and they can achieve accuracy as high as ~85% in a TAFC task.
June 10, 2025 at 3:33 PM
Using a state-dependent framework via an HMM, we extend the vanilla Drift-Diffusion Model (DDM) to capture trial-by-trial changes in decisions strategy. With this model we find mice actively explore the speed-accuracy tradeoff, and they can achieve accuracy as high as ~85% in a TAFC task.
Reposted by Ryan Senne (he/him)
They would've found something to weaponize regardless. One of the most admirable things about science is its commitment to self-criticism. The fact that bad actors may capitalize on our legitimate concerns should never stop us from being honest and reflective about what we do.
May 25, 2025 at 4:57 PM
They would've found something to weaponize regardless. One of the most admirable things about science is its commitment to self-criticism. The fact that bad actors may capitalize on our legitimate concerns should never stop us from being honest and reflective about what we do.