52 lines
1.8 KiB
Python
52 lines
1.8 KiB
Python
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from Baseline import get_baseline_class
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from CellData import CellData, icelldata_of_dir
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from models.LIFACnoise import LifacNoiseModel
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from Baseline import BaselineCellData, BaselineModel
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from os import listdir
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import numpy as np
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from IPython import embed
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import pyrelacs.DataLoader as Dl
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from ModelFit import ModelFit, get_best_fit
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from FiCurve import FICurveModel, FICurveCellData
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import os
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import matplotlib.pyplot as plt
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import functions as fu
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from scipy.optimize import curve_fit
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from scipy.signal import find_peaks
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from thunderfish.eventdetection import threshold_crossing_times, threshold_crossings, detect_peaks
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import helperFunctions as hF
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import models.smallModels as sM
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from stimuli.SinusoidalStepStimulus import SinusoidalStepStimulus
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from matplotlib import gridspec
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# from plottools.axes import labelaxes_params
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# sp = self.spikes(index)
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# binary = np.zeros(t.shape)
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# spike_indices = ((sp - t[0]) / dt).astype(int)
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# binary[spike_indices[(spike_indices >= 0) & (spike_indices < len(binary))]] = 1
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# g = gaussian_kernel(kernel_width, dt)
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# rate = np.convolve(binary, g, mode='same')
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fit = ModelFit("results/final_2/2012-07-12-ag-invivo-1/start_parameter_4_err_6.11/")
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model = fit.get_model()
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print(model.parameters)
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eodf = fit.get_cell_data().get_eod_frequency()
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baseline = BaselineModel(model, eod_frequency=eodf)
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print("model BF: {:.2f}".format(baseline.get_baseline_frequency()))
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model_no_dend = model.get_model_copy()
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model_no_dend.parameters["dend_tau"] = 0
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model_no_dend.parameters["input_scaling"] = 20
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baseline = BaselineModel(model_no_dend, eod_frequency=eodf)
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print("no dend BF: {:.2f}".format(baseline.get_baseline_frequency()))
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baseline.plot_interspike_interval_histogram()
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v1, spikes = model_no_dend.simulate(SinusoidalStepStimulus(eodf, 0, 0), 2)
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plt.plot(v1)
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plt.show() |