View source: R/hemibrain_synapses.R
hemibrain_extract_synapses | R Documentation |
Extract a single data frame describing synapse/connection types,
partners, locations and position on a neuron's axon/dendrite. You can
either get all synapses returned or all unitary connections to a neuron's
partners returned. Broken down by axon/dendrite (label
), and
pre/postsynapses or pre/postsynaptic partners. Note that hemibrain_extract_compartment_edgelist
will
only return connections between neurons given in the argument x
.
hemibrain_extract_synapses(x, prepost = c("BOTH", "PRE", "POST"), ...)
hemibrain_extract_connections(
x,
prepost = c("BOTH", "PRE", "POST"),
meta = NULL,
...
)
hemibrain_extract_compartment_edgelist(x, meta = NULL, ...)
x |
a |
prepost |
whether to get presynapses, postsynapses or both |
... |
Additional arguments passed to methods or eventually to
|
meta |
a data frame giving neuron metrics (i.e. as generated by |
a data.frame
. Depending on which synapse function was called, it can contain the columns:
"treenode_id" - the position of the node in the SWC-style table found at neuron$d
, where the neuron is the skeleton for bodyid
.
"connector_id" - the unique ID for a pre/post synapse, as read from neuPrint. If this is not given, you are looking at a connection not a synapse.
In this case count
should be given, which shows the number of synapses in this connection.
"prepost" - whether the given synapse is a pre-synapse (0, output synapse) or postsynapse (1, input synapse). Alternatively, if a connection is given,
whether this connection is presynaptic to bodyid
(0, bodyid
is target) or postsynaptic (1, bodyid
is source).
"x" - x coordinate for the root point.
"y" - y coordinate for the root point.
"z" - z coordinate for the root point.
"confidence" - FlyEM's confidence level. The lower the score, the more likely this synapse is an artefact.
"bodyid" - The neuPrint neuron/body related to the synapse/connection given in each row.
"partner" - The neuron connecting to bodyid
by the given synapse/connection.
"pre" - The body ID for the presynaptic (source) neuron.
"partner" - The body ID for the presynaptic (target) neuron.
"label" - The compartment of the bodyid
neuron on which the synapse is placed / which receives/makes the given connection.
See ?standardise
.
"partner_label" - The compartment of the partner
neuron on which the synapse is placed / which receives/makes the given connection.
"count" - The number of synapses that make the given connection. Sometimes referred to as 'weight'.
"norm" - The normalised synapse weight. count
is divided by the total number of inputs that the
target neuron's (post
) compartment (label
) has. I.e. this normalisation is by total_inputs onto a dendrite or axon, not the whole neuron.
"connection" - The type of compartment-compartment connection specified by this row. The first compartment is the source (pre), the second, the target (post).
flow_centrality
## Not run:
# Choose bodyids
some.pns = sample(pn.ids, 20)
# Read in these neurons
neurons = neuprintr::neuprint_read_neurons(some.pns)
# Re-root
neurons.flow = flow_centrality(neurons,
polypre = TRUE,
mode = "centrifugal", split = "distance")
# Let's check that this worked
syns = hemibrain_extract_synapses(neurons.flow)
# Get the edgelist by compartment
elist = hemibrain_extract_compartment_edgelist(neurons.flow)
# See result
library(nat)
plot3d_split(neuron.flow)
points3d(xyzmatrix(subset(syns,prepost==1)), col = "cyan")
points3d(xyzmatrix(subset(syns,prepost==0)), col = "red")
## End(Not run)
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