Methods common to all layers ============================ Layers correspond to identifiable states in a cognitive model, often consisting of sets of homogeneous units. description ----------- some_layer description The description of `some_layer` will have the additional elements: `Representation` names the associated representation; `Width` indicates the width of that representation used to format the layer; `Current time` indicates the time currently associated with the layer; `Incoming connections` lists that attached connections with sub-elements indicating the attached input channel as `port`; `Ports` list all input channels. attach ------ some_layer attach src_conn port Establish `src_conn` as an incoming connection on port `port` (name) of `some_layer`. some_layer attach src_conn As above, except the default port (net_input) is used. detach ------ some_layer detach src_conn Detach `src_conn` as connection to `some_layer` on any port. connections ----------- some_layer connections List connections to `some_layer`. lesion ------ some_layer lesion Insert a `lesion_transfer` into the layer\_transfer slot of `some_layer` without destroying the existing transfer facet (which now becomes the responsiblity of the lesion\_transfer facet to manage; this is used in the unlesion method). unlesion -------- some_layer unlesion If `some_layer` has a `lesion_transfer` facet, replace this with the original layer\_transfer facet, and destroy the `lesion_transfer` facet. represent --------- some_layer represent rep Set the representaion of `some_layer` to be `rep`. state ----- some_layer state time_step Return the state of `some_layer` at the (integer) `time_step` index in the array of states. Note time\_step is the rank time, not the time (see `time_summary`). some_layer state Return the pattern_reference that (continually) refers to the current state pattern. output ------ some_layer output time_step Return the state of `some_layer` at the (integer) `time_step` index in the array of outputs. Note time\_step is the rank time, not the time (see `time_summary`). some_layer output Return the pattern_reference that (continually) refers to the current output pattern. input ----- some_layer input time_step port Return the input to the `port` channel (number) of `some_layer` at the (integer) `time_step` index in the array of inputs. Note time\_step is the rank time, not the time (see `time_summary`). some_layer output time_step As above, but the default input (0; net_input) is used. some_layer output As above, but the current time is used. input_ref --------- some_layer input_ref port Return the updating pattern\_reference to the current input to `some_layer` on port number `port`. set_lag ------- some_conn set_lag nsteps Set the amount of time between input and output of `some_conn` to be `nsteps`. lag is the time differential between input and state/output, such that the output at time `t` can be generated with only the input up to and including the time `t-lag`. get_labels ---------- some_conn get_labels List the dimensions of the representation associated with `some_conn`. rep --- some_conn rep Return a representation\_reference to the representation of `some_conn`. time ---- some_conn time Return a strength_pattern whose first and only element is the time at the layer. time_summary ------------ some_conn time_summary Print a human-readable description of the association between integer indices in the input/state/output arrays and the floating point times. default_observer ---------------- some_conn default_observer Return a dflog\_nobserver owned by the layer with default settings to observe the state of `some_conn`. default_input_observer ---------------------- some_conn default_input_observer port Return a dflog\_nobserver owned by the input\_port with default settings to observe the input channel port number `port` of `some_conn`. some_conn default_input_observer As above, but port number is 0 (net\_input).