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channel_groups = {
# Shank index.
0:
{
# List of channels to keep for spike detection.
'channels': list(range(32)),
# Adjacency graph. Dead channels will be automatically discarded
# by considering the corresponding subgraph.
'graph': [
(0, 1), (0, 2),
(1, 2), (1, 3),
(2, 3), (2, 4),
(3, 4), (3, 5),
(4, 5), (4, 6),
(5, 6), (5, 7),
(6, 7), (6, 8),
(7, 8), (7, 9),
(8, 9), (8, 10),
(9, 10), (9, 11),
(10, 11), (10, 12),
(11, 12), (11, 13),
(12, 13), (12, 14),
(13, 14), (13, 15),
(14, 15), (14, 16),
(15, 16), (15, 17),
(16, 17), (16, 18),
(17, 18), (17, 19),
(18, 19), (18, 20),
(19, 20), (19, 21),
(20, 21), (20, 22),
(21, 22), (21, 23),
(22, 23), (22, 24),
(23, 24), (23, 25),
(24, 25), (24, 26),
(25, 26), (25, 27),
(26, 27), (26, 28),
(27, 28), (27, 29),
(28, 29), (28, 30),
(29, 30), (29, 31),
(30, 31),
],
# 2D positions of the channels, only for visualization purposes
# in KlustaViewa. The unit doesn't matter.
'geometry': {
31: (0, 0),
30: (5, 10),
29: (-6, 20),
28: (7, 30),
27: (-8, 40),
26: (9, 50),
25: (-10, 60),
24: (11, 70),
23: (-12, 80),
22: (13, 90),
21: (-14, 100),
20: (15, 110),
19: (-16, 120),
18: (17, 130),
17: (-18, 140),
16: (19, 150),
15: (-20, 160),
14: (21, 170),
13: (-22, 180),
12: (23, 190),
11: (-24, 200),
10: (25, 210),
9: (-26, 220),
8: (27, 230),
7: (-28, 240),
6: (29, 250),
5: (-30, 260),
4: (31, 270),
3: (-32, 280),
2: (33, 290),
1: (-34, 300),
0: (35, 310),
}
}
}