def METHOD_NAME(net):
    """Check for the types of LIF neurons contained in net."""
    global is_leaky
    global is_lapicque
    global is_synaptic
    global is_alpha
    global is_rleaky
    global is_rsynaptic
    global is_sconv2dlstm
    global is_slstm
    for idx in range(len(list(net._modules.values()))):
        if isinstance(list(net._modules.values())[idx], snn.Lapicque):
            is_lapicque = True
        if isinstance(list(net._modules.values())[idx], snn.Synaptic):
            is_synaptic = True
        if isinstance(list(net._modules.values())[idx], snn.Leaky):
            is_leaky = True
        if isinstance(list(net._modules.values())[idx], snn.Alpha):
            is_alpha = True
        if isinstance(list(net._modules.values())[idx], snn.RLeaky):
            is_rleaky = True
        if isinstance(list(net._modules.values())[idx], snn.RSynaptic):
            is_rsynaptic = True
        if isinstance(list(net._modules.values())[idx], snn.SConv2dLSTM):
            is_sconv2dlstm = True
        if isinstance(list(net._modules.values())[idx], snn.SLSTM):
            is_slstm = True