How to use the pulse2percept.electrode2currentmap function in pulse2percept

self.lweight = lweight
        self.aweight = aweight
        self.scale_slow = scale_slow

        # perform one-time setup calculations
        # Gamma functions used as convolution kernels do not depend on input
        # data, hence can be calculated once, then re-used (trade off memory
        # for speed).
        # gamma_nfl and gamma_inl are used to calculate the fast response in
        # bipolar and ganglion cells respectively

        t = np.arange(0, 8 * self.tau_inl, self.tsample)
        self.gamma_inl = e2cm.gamma(1, self.tau_inl, t)

        t = np.arange(0, 10 * self.tau_nfl, self.tsample)
        self.gamma_nfl = e2cm.gamma(1, self.tau_nfl, t)

        # gamma_ca is used to calculate charge accumulation
        t = np.arange(0, 6 * self.tau_ca, self.tsample)
        self.gamma_ca = e2cm.gamma(1, self.tau_ca, t)

        # gamma_slow is used to calculate the slow response
        t = np.arange(0, 10 * self.tau_slow, self.tsample)
        self.gamma_slow = e2cm.gamma(3, self.tau_slow, t)

self.tau_slow = tau_slow
        self.slope = slope
        self.shift = shift
        self.lweight = lweight
        self.aweight = aweight
        self.scale_slow = scale_slow

        # perform one-time setup calculations
        # Gamma functions used as convolution kernels do not depend on input
        # data, hence can be calculated once, then re-used (trade off memory
        # for speed).
        # gamma_nfl and gamma_inl are used to calculate the fast response in
        # bipolar and ganglion cells respectively

        t = np.arange(0, 8 * self.tau_inl, self.tsample)
        self.gamma_inl = e2cm.gamma(1, self.tau_inl, t)

        t = np.arange(0, 10 * self.tau_nfl, self.tsample)
        self.gamma_nfl = e2cm.gamma(1, self.tau_nfl, t)

        # gamma_ca is used to calculate charge accumulation
        t = np.arange(0, 6 * self.tau_ca, self.tsample)
        self.gamma_ca = e2cm.gamma(1, self.tau_ca, t)

        # gamma_slow is used to calculate the slow response
        t = np.arange(0, 10 * self.tau_slow, self.tsample)
        self.gamma_slow = e2cm.gamma(3, self.tau_slow, t)