odynn.models.hhsimple module

class odynn.models.hhsimple.HodgHuxSimple(init_p, tensors=False, dt=0.1)

Bases: odynn.models.model.BioNeuron

Attributes:

init_state

ndarray, Initial state vector

num

int, Number of neurons being modeled in this object

parameter_names

Methods

calculate(i_inj)	Simulate the neuron with input current i_inj and return the state vectors
get_random()	Return a dictionnary with the same keys as default_params and random values
parallelize(n)	Add a dimension of size n in the initial parameters and initial state
plot_output(ts, i_inj, states[, y_states, …])	Plot voltage and ion concentrations, potentially compared to a target model
plot_results(ts, i_inj_values, results[, …])	Function for plotting detailed results of some experiment
step(X, i_inj)	Integrate and update state variable (voltage and possibly others) after one time step

default_init_state = array([-60., 0., 1.])

default_params = {'C_m': 1.0, 'E_K': 30.0, 'E_L': -60.0, 'a__mdp': -30.0, 'a__scale': 20.0, 'a__tau': 500.0, 'b__mdp': -5.0, 'b__scale': -3.0, 'b__tau': 30.0, 'g_K': 0.5, 'g_L': 0.1}

static get_random()

Return a dictionnary with the same keys as default_params and random values

plot_results(ts, i_inj_values, results, ca_true=None, suffix='', show=True, save=False)

Function for plotting detailed results of some experiment

step(X, i_inj)

Integrate and update state variable (voltage and possibly others) after one time step

Parameters:

• X (ndarray) – State variables
• i (float) – Input current

Returns:

updated state vector

Return type:

ndarray