config_dump_12_35_23.yaml 7.8 KB

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  1. !munch.Munch
  2. session: !munch.Munch
  3. flags: !munch.Munch {stimulus: true, bl: true, bl_rand: true, decode: false}
  4. lfp: !munch.Munch
  5. fs: 1000
  6. sampling_ratio: 30
  7. filter_fc_lb: [10, 0]
  8. filter_fc_mb: [12, 40]
  9. filter_fc_hb: [60, 250]
  10. filter_order_lb: 2
  11. filter_order_mb: 6
  12. filter_order_hb: 10
  13. artifact_thr: 400
  14. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  15. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  16. array21: [0, 1]
  17. array22: []
  18. array1_exclude: []
  19. array2_exclude: []
  20. i_start: 0
  21. i_stop: -1
  22. psth_win: [-1000, 5000]
  23. exclude: false
  24. normalize: false
  25. zscore: false
  26. car: true
  27. sub_band: 1
  28. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  29. spectra: !munch.Munch {spgr_len: 500}
  30. plot: !munch.Munch
  31. ch_ids: [0]
  32. general: true
  33. filters: false
  34. array2: [0, 1]
  35. recording: !munch.Munch
  36. timing: !munch.Munch {decoder_refresh_interval: 0.01, recording_loop_interval_data: 0.02,
  37. t_response: 5.0, t_baseline_all: 1.0, t_after_stimulus: 0.2, recording_loop_interval: 0.05,
  38. bci_loop_interval: 0.05, t_baseline_rand: 1.0, t_baseline_1: 5.0}
  39. sim_data: !munch.Munch {rate_bl: 10}
  40. classifier: !munch.Munch
  41. n_classes: 2
  42. trigger_pos: start
  43. thr_window: 40
  44. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  45. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  46. psth: !munch.Munch
  47. cut: [-40, 100]
  48. thr_prob: 0.8
  49. n_neg_train: 100000
  50. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  51. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  52. online: false
  53. include_channels: [20]
  54. exclude_data_channels: []
  55. max_active_ch_nr: []
  56. break_loop: true
  57. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  58. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  59. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  60. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  61. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  62. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  63. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  64. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  65. n_triggers: 2
  66. deadtime: 40
  67. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  68. args:
  69. - !!python/name:numpy.ndarray ''
  70. - !!python/tuple [0]
  71. - !!binary |
  72. Yg==
  73. state: !!python/tuple
  74. - 1
  75. - !!python/tuple [8]
  76. - !!python/object/apply:numpy.dtype
  77. args: [i8, 0, 1]
  78. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  79. - false
  80. - !!binary |
  81. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  82. AAAAAAAAAA==
  83. saved_model_conf_name: config/model_conf.yaml
  84. n_features: 1024
  85. buffer: !munch.Munch
  86. length: 600
  87. shape: [600, 128]
  88. general: !munch.Munch {debug: 1, clear_trial_history: false}
  89. speller: !munch.Munch {type: color, audio: true, audio_result_fb: true, pyttsx_rate: 100,
  90. speller_matrix: true}
  91. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/colorspeller.yaml]
  92. system: !munch.Munch {plot: 0}
  93. feedback: !munch.Munch {alpha: 360, feedback_tone: true, beta: 120, hold_iterations: 2,
  94. target_n_tones: 5, target_tone_length: 1.0, tone_length: 0.25}
  95. plot: !munch.Munch
  96. filter_min_rate: 2
  97. pca: false
  98. fps: 10.0
  99. channels: [96, 98]
  100. daq: !munch.Munch
  101. trigger_len: 50
  102. smpl_fct: 30
  103. daq_sleep: 0.1
  104. spike_band_power: !munch.Munch
  105. average_n_bins: 10
  106. filter: !munch.Munch
  107. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  108. a: [1, -1.91119706742607, 0.914975834801434]
  109. loop_interval: 50
  110. sample_group: 6
  111. integrated_samples: 1500
  112. exclude_channels: []
  113. data_source: spike_rates
  114. car_channels: []
  115. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  116. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  117. fs: 30000.0
  118. normalization: !munch.Munch
  119. range: [10, 90]
  120. use_all_channels: false
  121. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  122. clamp_firing_rates: true
  123. channels:
  124. - !munch.Munch {id: 20, bottom: 6.0, top: 13.0, invert: true}
  125. len: 600.0
  126. update_interval: 10.0
  127. do_update: false
  128. n_channels_max: 128
  129. n_channels: 128
  130. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  131. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2020-01-16,
  132. filename_data: /data/clinical/neural/fr/2020-01-16/data_12_35_23.bin, filename_baseline: /data/clinical/neural/fr/2020-01-16/bl_12_35_23.npy,
  133. filename_log_info: /data/clinical/neural/fr/2020-01-16/info_12_35_23.log, filename_log_debug: /data/clinical/neural/fr/2020-01-16/debug_12_35_23.log,
  134. filename_events: /data/clinical/neural/fr/2020-01-16/events_12_35_23.txt, filename_config: /data/clinical/neural/fr/2020-01-16/config_12_35_23.yaml,
  135. filename_paradigm: /data/clinical/neural/fr/2020-01-16/paradigm_12_35_23.yaml, filename_config_dump: /data/clinical/neural/fr/2020-01-16/config_dump_12_35_23.yaml,
  136. filename_git_patch: /data/clinical/neural/fr/2020-01-16/git_changes_12_35_23.patch,
  137. filename_history: /data/clinical/neural/fr/2020-01-16/history.bin, git_hash: 52c204f}
  138. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  139. paradigms: !munch.Munch
  140. question: !munch.Munch
  141. mode: [Training, Validation, Free]
  142. selected_mode: 2
  143. audio_path: /kiap/data/speller/Audio/question
  144. number_of_stim: 10
  145. symmetrical: true
  146. exploration: !munch.Munch
  147. mode: [Screening]
  148. selected_mode: 0
  149. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  150. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  151. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  152. audio_path: /kiap/data/speller/Audio/exploration
  153. number_of_stim: 5
  154. variablesToShowInGUI: !munch.Munch
  155. variableGroups: [timing, color]
  156. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  157. t: 1
  158. feedback: !munch.Munch
  159. audio_path: /kiap/data/speller/feedback/
  160. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  161. selected_mode: 0
  162. states: !munch.Munch
  163. down: [0.0, 0.0, 0.3]
  164. up: [1.0, 0.7, 1.0]
  165. play_end_feedback: !munch.Munch {success: true, fail: true}
  166. mode: [Training, Validation]
  167. symmetrical: true
  168. number_of_stim: 10
  169. training_color: !munch.Munch
  170. mode: [Training]
  171. selected_mode: 0
  172. states:
  173. - - gelb
  174. - [E, A, D, C, B, F, ^]
  175. - - gruen
  176. - [N, S, R, O, M, P, Q, ^]
  177. - - rot
  178. - [I, H, L, G, K, J, ^]
  179. - - blau
  180. - [T, U, W, Z, V, Y, X, ^]
  181. - - weiss
  182. - [<, ' ', '?', word, end, ^]
  183. training_string: Gustav
  184. confirmation_yes: 1
  185. confirmation_no: 1
  186. color: !munch.Munch
  187. corpora_path: /kiap/data/speller/Corpora
  188. audio_path: /kiap/data/speller/Audio
  189. speller_user_corpus: speller_user.txt
  190. selected_mode: 1
  191. states:
  192. - - gelb
  193. - [E, A, D, C, B, F, ^]
  194. - - gruen
  195. - [N, S, R, O, M, P, Q, ^]
  196. - - rot
  197. - [I, H, L, G, K, J, ^]
  198. - - blau
  199. - [T, U, W, Z, V, Y, X, ^]
  200. - - weiss
  201. - [<, ' ', end, ^]
  202. confirmation_methods: [single, double_yes, best_of_three]
  203. selected_confirmation_method: 1
  204. general_corpus: cfd_tiger.p
  205. mode: [Validation, Free]
  206. general_user_corpus: general_user_cfd.txt
  207. word_prediction: false
  208. init_string: ''
  209. validation_string: ''
  210. max_length_vocabulary: 5
  211. n_repeat_unclassified: 1