config_dump_15_19_40.yaml 8.0 KB

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  1. !munch.Munch
  2. plot: !munch.Munch
  3. filter_min_rate: 2
  4. pca: false
  5. fps: 10.0
  6. channels: [96, 98]
  7. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  8. daq: !munch.Munch
  9. smpl_fct: 30
  10. trigger_len: 50
  11. exclude_channels: []
  12. daq_sleep: 0.1
  13. fs: 30000.0
  14. normalization: !munch.Munch
  15. use_all_channels: false
  16. channels:
  17. - !munch.Munch {id: 20, bottom: 2.0, top: 5.0, invert: true}
  18. - !munch.Munch {id: 22, bottom: 2.0, top: 8.0, invert: false}
  19. - !munch.Munch {id: 98, bottom: 8.0, top: 14.0, invert: false}
  20. range: [10, 90]
  21. len: 600.0
  22. clamp_firing_rates: true
  23. update_interval: 10.0
  24. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  25. do_update: false
  26. data_source: spike_rates
  27. spike_band_power: !munch.Munch
  28. integrated_samples: 1500
  29. sample_group: 6
  30. average_n_bins: 10
  31. loop_interval: 50
  32. filter: !munch.Munch
  33. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  34. a: [1, -1.91119706742607, 0.914975834801434]
  35. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  36. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  37. car_channels: []
  38. n_channels_max: 128
  39. n_channels: 128
  40. speller: !munch.Munch {pyttsx_rate: 100, type: color, speller_matrix: true, audio_result_fb: true,
  41. audio: true}
  42. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  43. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2019-12-10,
  44. filename_data: /data/clinical/neural/fr/2019-12-10/data_15_19_40.bin, filename_baseline: /data/clinical/neural/fr/2019-12-10/bl_15_19_40.npy,
  45. filename_log_info: /data/clinical/neural/fr/2019-12-10/info_15_19_40.log, filename_log_debug: /data/clinical/neural/fr/2019-12-10/debug_15_19_40.log,
  46. filename_events: /data/clinical/neural/fr/2019-12-10/events_15_19_40.txt, filename_config: /data/clinical/neural/fr/2019-12-10/config_15_19_40.yaml,
  47. filename_paradigm: /data/clinical/neural/fr/2019-12-10/paradigm_15_19_40.yaml, filename_config_dump: /data/clinical/neural/fr/2019-12-10/config_dump_15_19_40.yaml,
  48. filename_git_patch: /data/clinical/neural/fr/2019-12-10/git_changes_15_19_40.patch,
  49. filename_history: /data/clinical/neural/fr/2019-12-10/history.bin, git_hash: 52c204f}
  50. buffer: !munch.Munch
  51. length: 600
  52. shape: [600, 128]
  53. paradigms: !munch.Munch
  54. question: !munch.Munch
  55. mode: [Training, Validation, Free]
  56. selected_mode: 2
  57. audio_path: /kiap/data/speller/Audio/question
  58. number_of_stim: 10
  59. symmetrical: true
  60. training_color: !munch.Munch
  61. mode: [Training]
  62. selected_mode: 0
  63. states:
  64. - - gelb
  65. - [E, A, D, C, B, F, ^]
  66. - - gruen
  67. - [N, S, R, O, M, P, Q, ^]
  68. - - rot
  69. - [I, H, L, G, K, J, ^]
  70. - - blau
  71. - [T, U, W, Z, V, Y, X, ^]
  72. - - weiss
  73. - [<, ' ', '?', word, end, ^]
  74. training_string: Gustav
  75. confirmation_yes: 1
  76. confirmation_no: 1
  77. feedback: !munch.Munch
  78. number_of_stim: 10
  79. selected_mode: 0
  80. symmetrical: true
  81. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  82. states: !munch.Munch
  83. up: [1.0, 0.7, 1.0]
  84. down: [0.0, 0.0, 0.3]
  85. audio_path: /kiap/data/speller/feedback/
  86. play_end_feedback: !munch.Munch {success: true, fail: true}
  87. mode: [Training, Validation]
  88. color: !munch.Munch
  89. max_length_vocabulary: 5
  90. general_user_corpus: general_user_cfd.txt
  91. selected_mode: 1
  92. validation_string: ''
  93. word_prediction: false
  94. confirmation_methods: [single, double_yes, best_of_three]
  95. selected_confirmation_method: 0
  96. corpora_path: /kiap/data/speller/Corpora
  97. general_corpus: cfd_tiger.p
  98. speller_user_corpus: speller_user.txt
  99. init_string: ''
  100. states:
  101. - - gelb
  102. - [E, A, D, C, B, F, ^]
  103. - - gruen
  104. - [N, S, R, O, M, P, Q, ^]
  105. - - rot
  106. - [I, H, L, G, K, J, ^]
  107. - - blau
  108. - [T, U, W, Z, V, Y, X, ^]
  109. - - weiss
  110. - [<, ' ', end, ^]
  111. audio_path: /kiap/data/speller/Audio
  112. n_repeat_unclassified: 1
  113. mode: [Validation, Free]
  114. exploration: !munch.Munch
  115. mode: [Screening]
  116. selected_mode: 0
  117. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  118. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  119. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  120. audio_path: /kiap/data/speller/Audio/exploration
  121. number_of_stim: 5
  122. variablesToShowInGUI: !munch.Munch
  123. variableGroups: [timing, color]
  124. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  125. t: 1
  126. classifier: !munch.Munch
  127. thr_prob: 0.8
  128. exclude_data_channels: []
  129. n_neg_train: 100000
  130. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  131. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  132. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  133. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  134. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  135. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  136. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  137. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  138. args:
  139. - !!python/name:numpy.ndarray ''
  140. - !!python/tuple [0]
  141. - !!binary |
  142. Yg==
  143. state: !!python/tuple
  144. - 1
  145. - !!python/tuple [8]
  146. - !!python/object/apply:numpy.dtype
  147. args: [i8, 0, 1]
  148. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  149. - false
  150. - !!binary |
  151. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  152. AAAAAAAAAA==
  153. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  154. break_loop: true
  155. n_triggers: 2
  156. thr_window: 40
  157. n_classes: 2
  158. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  159. saved_model_conf_name: config/model_conf.yaml
  160. deadtime: 40
  161. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  162. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  163. online: false
  164. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  165. include_channels: [20]
  166. max_active_ch_nr: []
  167. trigger_pos: start
  168. psth: !munch.Munch
  169. cut: [-40, 100]
  170. n_features: 1024
  171. session: !munch.Munch
  172. flags: !munch.Munch {decode: false, bl_rand: true, bl: true, stimulus: true}
  173. lfp: !munch.Munch
  174. fs: 1000
  175. sampling_ratio: 30
  176. filter_fc_lb: [10, 0]
  177. filter_fc_mb: [12, 40]
  178. filter_fc_hb: [60, 250]
  179. filter_order_lb: 2
  180. filter_order_mb: 6
  181. filter_order_hb: 10
  182. artifact_thr: 400
  183. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  184. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  185. array21: [0, 1]
  186. array22: []
  187. array1_exclude: []
  188. array2_exclude: []
  189. i_start: 0
  190. i_stop: -1
  191. psth_win: [-1000, 5000]
  192. exclude: false
  193. normalize: false
  194. zscore: false
  195. car: true
  196. sub_band: 1
  197. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  198. spectra: !munch.Munch {spgr_len: 500}
  199. plot: !munch.Munch
  200. ch_ids: [0]
  201. general: true
  202. filters: false
  203. array2: [0, 1]
  204. recording: !munch.Munch
  205. timing: !munch.Munch {recording_loop_interval_data: 0.02, t_response: 5.0, t_baseline_1: 5.0,
  206. bci_loop_interval: 0.05, decoder_refresh_interval: 0.01, recording_loop_interval: 0.05,
  207. t_baseline_all: 1.0, t_after_stimulus: 0.2, t_baseline_rand: 1.0}
  208. feedback: !munch.Munch {hold_iterations: 2, tone_length: 0.25, feedback_tone: true,
  209. target_tone_length: 1.0, beta: 120, target_n_tones: 5, alpha: 360}
  210. system: !munch.Munch {plot: 0}
  211. general: !munch.Munch {debug: 1, clear_trial_history: false}
  212. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/colorspeller.yaml]
  213. sim_data: !munch.Munch {rate_bl: 10}