StateNet (deepSTRF)
Pretrained checkpoint produced with deepSTRF.
Usage
from deepSTRF.models.audio import StateNet # adjust import path if needed
model = StateNet.from_pretrained("<owner>/<repo>")
model.eval()
Config
{
"connectivity": "LC",
"hidden_channels": 7,
"kernel_size": 7,
"n_frequency_bands": 34,
"out_neurons": 119,
"output_activation": null,
"prefiltering": null,
"rnn_type": "GRU",
"stride": 3,
"temporal_window_size": 1
}
Metadata
{
"dataset": "NS1 (Harper et al. 2016, Rahman et al. 2020)",
"library": "deepSTRF",
"library_commit": "c07e561f7835454fdacbb35f38a8957668b8d1fd",
"model_kwargs": {
"connectivity": "LC",
"hidden_channels": 7,
"kernel_size": 7,
"n_frequency_bands": 34,
"rnn_type": "GRU",
"stride": 3
},
"out_neurons": 119,
"split": {
"test_stim_idx": [
17,
18,
19
],
"train_stim_idx": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13
],
"val_stim_idx": [
14,
15,
16
]
},
"task": "audio neural response prediction",
"test_metrics": {
"cc_mean": 0.659480631351471,
"cc_median": 0.681122899055481,
"cc_norm_mean": 0.7703116536140442,
"cc_norm_median": 0.7958264350891113,
"loss": 0.015971951186656952
},
"training": {
"device": "cuda",
"epochs_run": 80,
"fitter_kwargs": {
"max_epochs": 80,
"mode": "max",
"monitor": "val_cc_norm",
"patience": 15
},
"loss": "mse_loss vs PSTH",
"optimizer": "AdamW",
"optimizer_kwargs": {
"lr": 0.001,
"weight_decay": 0.0
},
"seed": 0,
"train_time_min": 5.85
}
}
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