#VTE detection: what's the best algorithm out there to detect Rat VTEs from 2D head position data (no HD data)?
By "best" I mean least effortful for the user...

I know that @adredish has the D-phil method (explained in Interactions between deliberation and delay-discounting in rats #RedishLab which is used quite a lot.

But also just found out about a different method from @jessetm explained in A Machine Learning Approach for Detecting Vicarious Trial and Error Behaviors #MizumoriLab - Jesse, I haven't checked the details yet but as its creator, would you recommend it? Would you have code for it somewhere? I couldn't see a repo link in the paper but maybe I missed it. 🙏

Edit: Jeff Stott added this one to the list, which uses a "Curvature" measure (also from #RedishLab): A functional difference in information processing between orbitofrontal cortex and ventral striatum during decision-making behaviour

Any other ones out there?
#Neuroscience #NeuroMethods #SpatialCognition

Interactions between deliberation and delay-discounting in rats - PubMed

When faced with decisions, rats sometimes pause and look back and forth between possible alternatives, a phenomenon termed vicarious trial and error (VTE). When it was first observed in the 1930s, VTE was theorized to be a mechanism for exploration. Later theories suggested that VTE aided the resolu …

PubMed