Converter

class managers.operatorsSignaling.converter.Converter

Available methods:

Method name Method type
determine_signalsign_from_threshold() static method
voltage_to_spiketrain() class method

NOTE:

  • determine_signalsign_from_threshold returns “+” or “-“
  • voltage_to_spiketrain returns array of times when spikes occured
static determine_signalsign_from_threshold(thresh)

Returns signal sign “+” or “-” given a threshold number value.

classmethod voltage_to_spiketrain(model, recordings)

Transforms voltage recordings into spikes.

Arguments:

Ordered argument Value type
  1. model instance
 instantiated model
  1. response recording
 dictionary

NOTE:

  • the model has the attribute ‘regions’
  • recordings is a product after running the model

Use case:

First we set up as follows

>> sm = SimulationManager()

>> rm = RecordManager()

>> rec = {"time": None, "response": None, "stimulus": None}

>> par = {"dt": 0.1, "celsius": 30, "tstop": 10, "v_init": 65}

>> sm.prepare_model_NEURON(parameters=par, chosenmodel=chosenmodel)

>> rec["time"], rec["response"], rec["stimulus"] = rm.prepare_recording_NEURON(chosenmodel)

>> sm.engage_NEURON

>> co = Converter()

Then,

>> spikes = co.voltage_to_spiketrain(chosenmodel, rec)