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Even in these apparently simple feedforward sensory networks, connectomics haven't been the anticipated panacea. There's been a flurry of follow-up papers to Ta
by apl 10y ago
Even in these apparently simple feedforward sensory networks, connectomics haven't been the anticipated panacea. There's been a flurry of follow-up papers to Takemura et al., essentially refuting the suggested model.
Turns out, even where they should connections don't constrain circuits to a sufficient degree.
- stochastician 10y agoAwesome, do you have a good cite for that? The last time I paid attention in this space was a year+ ago, when the vision people were trumpeting these results, so I'd love to know more about the current thinking. It's been my go-to example for "connectomics will help with some things", but I'm not a sensory physiologist.
- apl 10y agoTry this: https://www.ncbi.nlm.nih.gov/pubmed/26234212 https://www.ncbi.nlm.nih.gov/pubmed/26234212 I guess the key lesson is -- don't rely on a single approach, because its limitations may well lead you astray. Applies to connectomics, physiology, modelling, etc.