At the end of September, I presented a poster on Contextual reconfiguration of mouse V1 representations through top-down feedback.
I was also scheduled to present a second poster on my work in meta-learning three-factor learning rules, but I mixed up the timetable and (wrongly) assumed the second-day poster session was also late in the afternoon. By the time I arrived, (I was still tweaking details up until late) the session had already ended. Lesson learned!
On the bright side, I got great fedback during the first poster session and I am grateful for those who stopped by. This project is in an early stage, building on my previous work examining how changes in V1 recurrent connectivity account for subtype-specific responses when context or expectation change.
In the new project, I’m approaching the same question from the complementary perspective of changes in top-down feedback. I ask how do V1 responses change with context and expectation when we perturb feedback rather than local recurrence? The project combines data analysis and modeling. My ultimate goal is to hopefully be able to disambiguate between the two hypotheses. Any one who might have some input on this, please reach out!
More soon as results firm up. More info about this project, here