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support for neuron class annotations #6
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* searches for ids or passes through input that is already id like
* class2ids currently focussed on AL associated neurons * currently depends on a neuprintr feature branch (noted in the description Remotes field)
* also refresh option for annotations
@schlegelp could you suggest how we should identify the list of LHONs/CNs at the moment? Thanks! |
"Strong" CNs are neurons that meet both of these criteria:
Ideally the 5% of inputs would be counted per compartment (axon/dendrite). For LHNs: In general: discard anything that's statusLabel |
Thanks @schlegelp! It would be great if you could provide exact code or queries and probably preferably a dump to a google sheet of the neurons thus identified (broken down by CN0/1 etc). The goal is to put you in charge of the definition and make it v quick and easy for others to retrieve the list of ids. Thanks!
…Sent from my iPhone
On 17 Feb 2020, at 00:01, Philipp Schlegel ***@***.***> wrote:
"Strong" CNs are neurons that meet both of these criteria:
5% of inputs or 50 synapses in total from PNs or is an MBON itself
5% of inputs or 50 synapses in total from MBONs or is a PN itself
Ideally the 5% of inputs would be counted per compartment (axon/dendrite).
For LHNs:
Either 5% of their pre- or post synapses in the LH. @alexanderbates used a connectivity approach to define LHNs based on inputs from uPNs.
In general: discard anything that's statusLabel Orphan, Assign or Unimportant
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I've tested for PNs and RNs, and it seems to be working fine. |
Introduces a new function
class2ids()
that allows one to search for broad neuronal classes. It would be great to add more includingWe also need to figure out a way to do the inverse (i.e. ids2class and possibly ids2type etc).