SchottdorfLab
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schottdorflab.bsky.social
SchottdorfLab
@schottdorflab.bsky.social
We are a quantitative behavioral neuroscience lab at the Department of Psychological & Brain Sciences at the University of Delaware. http://www.schottdorflab.com PI: Manuel Schottdorf
Let me google that for you :-) www.biorxiv.org/content/10.1... Using the Churchland jPCA method. Worth reading in full
State-space trajectories and traveling waves following distraction
Cortical activity shows the ability to recover from distractions. We analyzed neural activity from the prefrontal cortex (PFC) of monkeys performing working memory tasks with mid-memory-delay distract...
www.biorxiv.org
October 31, 2025 at 2:39 PM
Hm. yesss. Great Nerd Sniping potential to do the math for TCRM. My hunch is that Eq. (2) in arxiv.org/html/2504.02... could be a great starting point to add the Dxy constraint. Would be a super cool extension of CRM
arxiv.org
September 8, 2025 at 7:39 PM
Hi Harrison, this would be hard to compare; you would need some sort of regularization for PSL. The secret sauce of CRM is this regularization. Without it, it's just plain old CCA.
September 5, 2025 at 5:27 PM
Fascinating article!
March 21, 2025 at 2:15 PM
Great! Please let me know if you need any help. We built a little model too (code is in the same repo) but nothing as sophisticated as what you guys are going. Looking forward to seeing how well you'll do with natural scenes from the primate fovea in vivo :-)
March 18, 2025 at 5:48 PM
Great initiative! We have published a dataset a few years ago with in vivo recordings in macaques to natural scenes close to the fovea. Could be useful: doi.org/10.12751/g-n... — I don't do much work in this field anymore, but if it is not too much work, I can try to reformat this.
G-Node Open Data: Macaque retinal ganglion cell responses to natural movies in vivo.
doi.org
March 15, 2025 at 1:27 PM