2/ In the example image above, a binary signal is encoded with either a rate or synchrony code. The rate code uses high rate = 1, low rate = 0. In contrast, in the synchrony code the cells have a constant rate-of-fire, but high synch = 1, low synch = 0.
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13/ So what does this all mean? It suggests that PV+ cells could rapidly communicate information carried by the synchrony of spikes in excitatory cells, while SST+ cells would more slowly communicate info carried by the rate-of-fire of excitatory cells.
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14/ Of course, it's important to note the limitations here, two major: 1) It's not in vivo, so grain of salt. 2) We did not inhibit other cells, so our optical activation drove polysynaptic responses. This makes the late (> 5 ms) data potentially a mix of rate and synchrony.
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15/ Nonetheless, the data hints at very interesting potential divisions of labour in coding in layer 2/3. This is particularly interesting for me from a learning perspective: perhaps synchrony communicates sensory signals and rates communicate learning signals?
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16/ Anyway, we hope that this study will inspire more work. It would be great if some of these issues could be explored in vivo (which is beyond our capabilities). Also, we hope to see it motivate computational models, which should incorporate more cell type data IMO!
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17/ Finally, I just want to say that this paper and the beautiful work in it was done by
@tranarama, with support from@lukeyuriprince and others. It was the result of a collaboration between my lab,@KohlLab and the Kwag Lab, courtesy of an@HFSP Young Investigator Grant.Prikaži ovu nit -
Fin/ Also, this
#tweeprint took longer than intended, but it's also special: This paper is one of only two pieces of experimental work that my lab will publish, as I decided to shut down my wet lab to focus on computational work from now on. So this is some limited edition sh*t.Prikaži ovu nit -
Oops, and here is the actual paper!
https://www.biorxiv.org/content/10.1101/671248v3 …Prikaži ovu nit
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