Modify existing cell type — modify.cell.type • neurons

This function modifies parameters of an existing cell type in the current session. Parameters can be updated selectively. If the parameter is not specified at all or is specified as NULL, the existing parameter will be left in place.

Usage

modify.cell.type(
  type_name,
  valence = NULL,
  temporal_modulation_bias = NULL,
  temporal_modulation_timeconstant = NULL,
  temporal_modulation_amplitude = NULL,
  transmission_velocity = NULL,
  v_bound = NULL,
  dHdv_bound = NULL,
  I_spike = NULL,
  coupling_scaling_factor = NULL,
  spike_potential = NULL,
  resting_potential = NULL,
  threshold = NULL
)

Arguments

type_name: Character string giving name of the cell type, e.g. "excitatory", "inhibitory", "PV", "SST", etc.
valence: Valence of each neuron type, +1 for excitatory, -1 for inhibitory
temporal_modulation_bias: Temporal modulation time (in ms) bias for each neuron type
temporal_modulation_timeconstant: Temporal modulation time (in ms) step for each neuron type
temporal_modulation_amplitude: Temporal modulation time (in ms) cutoff for each neuron type
transmission_velocity: Transmission velocity (in microns/ms) for each neuron type
v_bound: Potential bound, such that -v_bound <= v_traces <= v_bound, in mV, for each neuron in the network, based on its type
dHdv_bound: Bound on derivative of metabolic energy wrt potential, such that dHdv_bound > abs(dHdv), in mA, for each neuron in the network, based on its type
I_spike: Spike current, in mA
coupling_scaling_factor: Controls how energy used in synaptic transmission compares to that used in spiking
spike_potential: Magnitude of each spike, in mV
resting_potential: Resting potential, in mV
threshold: Spike threshold, in mV

Value

Nothing.