Neuron

Neuron(
    self,
    parameters='',
    equations='',
    spike=None,
    axon_spike=None,
    reset=None,
    axon_reset=None,
    refractory=None,
    functions=None,
    name='',
    description='',
    extra_values={},
)

Base class to define a neuron model.

Neurons are rate-coded by default (in which case they must define the variable r). parameters expects a dictionary of parameter values, equations expects a list of variables.

Spiking neurons must define the spike condition (and usually also reset). They do not need to define r.

LIF = ann.Neuron(
    parameters = dict(
        tau = 10.0
    ),
    equations = [
        "tau * dv/dt + v = g_exc",
    ],
    spike = "v > 30.0",
    reset = "v = 0.0",
    refractory = 5.0,
    name = "LIF",
    description = "Leaky Integrate-and-Fire spiking neuron with time constant $\tau$." 
)

Parameters

Name	Type	Description	Default
parameters	str | dict	parameters of the neuron and their initial value.	''
equations	str | list	equations defining the temporal evolution of variables.	''
functions	str	additional functions used in the variables’ equations.	None
spike	str	condition to emit a spike (only for spiking neurons).	None
axon_spike	str	condition to emit an axonal spike (only for spiking neurons and optional). The axonal spike can appear additional to the spike and is independent from refractoriness of a neuron.	None
reset	str | list	changes to the variables after a spike (only for spiking neurons).	None
axon_reset	str | list	changes to the variables after an axonal spike (only for spiking neurons).	None
refractory	str	refractory period of a neuron after a spike (only for spiking neurons).	None
name	str	name of the neuron type (used for reporting only).	''
description	str	short description of the neuron type (used for reporting).	''