navis.interfaces.neuron.comp.DrosophilaPN

class navis.interfaces.neuron.comp.DrosophilaPN(x, res=10)

Compartment model of an olfactory projection neuron in Drosophila.

This is a CompartmentModel that uses passive membrane properties from Tobin et al. (2017) as presets:

• specific axial resistivity (Ra) of 266.1 Ohm / cm

• specific membrane capacitance (cm) of 0.8 mF / cm**2

• specific leakage conductance (g) of 1/Rm

• Rm = specific membran resistance of 20800 Ohm cm**2

• leakage reverse potential of -60 mV

Parameters:

• x (navis.TreeNeuron) – Neuron to generate model for. Has to be in microns!

• res (int) – Approximate length [um] of segments. This guarantees that no section has any segment that is longer than res but for small branches (i.e. “sections”) the segments might be smaller. Lower res = more detailed simulation.

Initialize Neuron.

__init__(x, res=10)

Initialize Neuron.

Methods

__init__(x[, res])	Initialize Neuron.
add_current_record(where[, label])	Add current recording to model.
add_spike_detector(where[, threshold, label])	Add a spike detector at given node(s).
add_synaptic_current(where[, start, tau, ...])	Add synaptic current(s) (AlphaSynapse) to model.
add_synaptic_input(where[, start, spike_no, ...])	Add synaptic input to model.
add_voltage_record(where[, label])	Add voltage recording to model.
clear()	Attempt to remove model from NEURON space.
clear_records()	Clear records.
clear_stimuli()	Clear stimuli.
clear_synapses()	Clear synapses.
connect(pre, where[, syn_tau1, syn_tau2, ...])	Connect object to model.
get_node_section(node_ids)	Return section(s) for given node(s).
get_node_segment(node_ids)	Return segment(s) for given node(s).
inject_current_pulse(where[, start, ...])	Add current injection (IClamp) stimulation to model.
insert(mechanism[, subset])	Insert biophysical mechanism for model.
plot_results([axes])	Plot results.
plot_structure()	Visualize structure in 3D using matplotlib.
run_simulation([duration, v_init])	Run the simulation.
uninsert(mechanism[, subset])	Remove biophysical mechanism from model.

Attributes

Ra	Axial resistance [Ohm * cm] of all sections.
cm	Membran capacity [micro Farads / cm^2] of all sections.
label	Name/label of the neuron.
n_records	Number of records (across all types) active on this model.
n_sections	Number of sections in this model.
n_stimuli	Number of stimuli active on this model.
nodes	Node table of the skeleton.
records	Return mapping of node ID(s) to recordings.
sections	List of sections making up this model.
stimuli	Return mapping of node ID(s) to stimuli.
synapses	Return mapping of node ID(s) to synapses.
t	The global time.