code: def return_markers(self, trigger_bits=8, trigger_zero=True):
          
          nev_file = splitext(self.filename)[0] + '.nev'
          markers = _read_neuralev(nev_file, read_markers=True)
  
          if trigger_bits == 8:
              to8 = lambda x: str(int(x) - (256 ** 2 - 256))
              for m in markers:
                  m['name'] = to8(m['name'])
  
          if trigger_zero:
              no_zero = (i for i, m in enumerate(markers) if m['name'] != '0')
  
              markers_no_zero = []
              for i in no_zero:
                  if (i + 1) < len(markers) and markers[i + 1]['name'] == '0':
                      markers[i]['end'] = markers[i + 1]['start']
                  markers_no_zero.append(markers[i])
  
          return markers_no_zero
docs: We always read triggers as 16bit, but we convert them to 8 here
          if requested.