Description Usage Arguments Details Value See Also
Builds a neuronBag object either from a vector of query strings or a metadata data.frame.
1 2 3 4 5 6 7 8 9 10 11 12 13 |
typeQuery |
Either a vector of queries (similar to a |
fixed |
If typeQuery is a query string, is it fixed? |
by.roi |
Return results by ROI or just global weights? |
selfRef |
Deprecated argument |
verbose |
Inform about progress if TRUE |
omitInputs |
Skip calculation of inputs if TRUE |
omitOutputs |
Skip calculation of outputs if TRUE |
computeKnownRatio |
Computes relative weights and output contributions that sum to 1 (for types and for neurons).
This requires keeping track of all the outputs of the inputs, and all the inputs of the outputs, in a field called |
... |
To be passed to getConnectionTable |
A neuronBag carries information about input and output connectivity of a group of neurons,
at the neuron and type level, while keeping track of eventual type changes that occured. Particularly useful in combination
with retyping functions. Methods exist for filtering (filter), concatenating (c) and all retyping utilities.
An object of class neuronBag. The object is a list with fields:
A table of metadata associated with the neurons in the bag – with an extra column, 'databaseType' which keeps the type name used in the database.
A type to type connectivity table of the outputs of the set of neurons.
A type to type connectivity table of the inputs of the set of neurons.
A neuron to neuron connection table of the outputs of the set of neurons.
A neuron to neuron connection table of the inputs of the set of neurons.
A table holding all instances of all the output types and their associated metadata
lateralize_types, cxRetyping, redefine_types for retyping a bag.
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