whereas more global LFP (~0.1-0.5mV amplitude) would have a much smaller direct effect (but maybe still meaningful). Much harder to demonstrate such causal effects in mammals, since manipulating single neurons generally doesn't affect behavior like it does in drosophila

Yes, thanks for sharing @stevenflorek.bsky.social! This is a pretty convincing example of eph coupling having causal role (drosophila ppl always have the coolest results!). My guess is that the key variable here is distance, e.g. many neurons might have such effect on their immediate neighbors

E.g. you could argue that hippocampal theta-sweeps would be completely messed up if you jitter the spikes just a little, but the underlying place field would be essentially the same

Yes, it's always a question of temp resolution. Saying "spike time matters" implies that that jittering spikes by ~1-2 ms would meaningfully change the computation. "Rate code" implies that computation would only be meaningfully affected by shifting the spike times a much larger amount (eg >10ms)

Since this is clearly one of your favorite topics, would be able to point to 1-2 papers / key results that you find to be the most compelling piece(s) of evidence?

Lots of insignificant weak things can be measured, showing that something matters causally is extremely difficult. The claim that spike timing matters broadly is only moderately controversial. The claim that ephaptic coupling is causal in some larger circuit computation is much more controversial

💯, I'm confused about what people are actually trying to claim here. Oscillations are important in the sense that *spike timing* matters. I think there is a good amount of data backing that up (e.g. HPC theta). This has nothing to do with any direct effect of the (extremely weak) LFP electric field

supportive mentor I could have wished for, and who gave me the time and space to learn and grow, and the intellectual freedom explore my ideas (and the occasional rabbit hole). Will miss all the wonderful colleagues I am leaving behind. Now on to new adventures, see you all back in Europe!

Feel incredibly fortunate to have worked alongside @neurosutras.bsky.social over the last few years and proud of all that we achieved. I'm very grateful to all the people who supported my many fellowship applications over the years.

Especially grateful to Aaron, who has been the most

Very cool! Maybe it's just my bad intuition, but I find it surprising that weights can tolerate more extreme quantisation that delays

It's been a pleasure and a privilege, going to really miss working with you and with the rest of the lab!

Ah nice, that's a good trick

Good tips! The only thing I dislike about this workflow is that the ai file with links is no longer self-contained, so harder to share with collaborators. I usually go straight for multi-panel in python (using Gridspec), and only use illustrator for adding the panel letters