Find neurons connected to a starting neuron
catmaid_query_connected(
skids,
minimum_synapses = 1L,
minimum_confidence = 1L,
boolean_op = c("OR", "AND"),
pid = 1,
raw = FALSE,
conn = NULL,
...
)One or more numeric skeleton ids or a character vector defining
a query (see catmaid_skids or examples for the syntax).
Must be at least this number of synapses between starter neuron and returned partners
The minimum confidence score (1-5, where 5 is high) of the reported connections.
Whether returned neurons can be connected to any
character vector (boolean_op="OR", the default) or must be connected
to all the specified neurons (boolean_op="AND").
Project id (default 1)
Whether to return completely unprocessed data (when TRUE)
or to convert the nodes and connectors lists into processed data.frames
(when FALSE, the default)
A catmaid_connection objection returned by
catmaid_login. If NULL (the default) a new connection
object will be generated using the values of the catmaid.* package
options as described in the help for catmaid_login.
Additional arguments passed to the catmaid_fetch
function
A list containing two data.frames (incoming, outgoing), each data.frame having one row for each partner neuron and the following columns
skid skeleton id of the query neuron
partner the skeleton id of the partner neuron
syn.count the number of synapses made with partner
num_nodes number of nodes in the partner neuron
catmaid_skids. See
catmaid_get_review_status to get information about the review
status of partners (as shown in the equivalent CATMAID report).
Other connectors:
catmaid_adjacency_matrix(),
catmaid_get_connector_table(),
catmaid_get_connectors_between(),
catmaid_get_connectors(),
connectors()
if (FALSE) {
orn13a=catmaid_query_by_name("13a ORN left")$skid
catmaid_query_connected(orn13a)
# connected to either left OR right 13a ORNs
orn13as=catmaid_query_by_name("13a ORN")
catmaid_query_connected(orn13as)
# connected to both left AND right 13a ORNs
catmaid_query_connected(orn13as, boolean_op = 'AND')
}