odynn.datas module

odynn.datas.check_alpha(show=True)

study the hill equation

odynn.datas.full4(dt=0.1, nb_neuron_zero=None, max_t=1200.0)

odynn.datas.full4_test(dt=0.1, nb_neuron_zero=None, max_t=1200.0)

odynn.datas.get_real_data(delta=500, final_time=4000.0, dt=0.2, show=False)

dump real data into our format

Parameters:

• delta – (Default value = 500)
• final_time – (Default value = 4000.)
• dt (float) – time step (Default value = 0.2)

Returns:

odynn.datas.get_real_data_norm(file='data/AVAL{}.csv')

odynn.datas.give_periodic(t, max_i, size, freq)

odynn.datas.give_test(dt=0.1, max_t=1200.0)

time and currents for optimization

Parameters:dt (float) – time step (Default value = DT)

Returns:

odynn.datas.give_train(dt=0.1, nb_neuron_zero=None, max_t=1200.0)

time and currents for optimization

Parameters:

• dt (float) – time step (Default value = DT)
• nb_neuron_zero – (Default value = None)
• max_t – (Default value = 1200.)

Returns:

odynn.datas.give_train2(dt=0.1)

odynn.datas.rd()

random() -> x in the interval [0, 1).

odynn.datas.test()