odynn.models.leakint module

class odynn.models.leakint.LeakyIntegrate(init_p, tensors=False, dt=0.1)[source]

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, X[, ca_true, …]) 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.])
default_params = {'C_m': 1.0, 'E_L': -60.0, 'g_L': 0.1}
static get_random()[source]

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

plot_results(ts, i_inj_values, X, ca_true=None, suffix='', show=True, save=False)[source]

Function for plotting detailed results of some experiment

step(X, i_inj)[source]

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