config_dump_16_56_38.yaml 7.9 KB

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  1. !munch.Munch
  2. plot: !munch.Munch
  3. pca: false
  4. filter_min_rate: 2
  5. channels: [20, 24, 99]
  6. fps: 10.0
  7. session: !munch.Munch
  8. flags: !munch.Munch {bl_rand: true, stimulus: true, bl: true, decode: false}
  9. daq: !munch.Munch
  10. data_source: spike_rates
  11. normalization: !munch.Munch
  12. clamp_firing_rates: true
  13. len: 600.0
  14. update_interval: 10.0
  15. use_all_channels: false
  16. range: [10, 90]
  17. do_update: false
  18. channels:
  19. - !munch.Munch {id: 21, bottom: 7.0, top: 16.0, invert: false}
  20. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  21. n_channels_max: 128
  22. fs: 30000.0
  23. trigger_len: 50
  24. daq_sleep: 0.1
  25. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  26. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  27. smpl_fct: 30
  28. spike_band_power: !munch.Munch
  29. integrated_samples: 1500
  30. loop_interval: 50
  31. sample_group: 6
  32. average_n_bins: 10
  33. filter: !munch.Munch
  34. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  35. a: [1, -1.91119706742607, 0.914975834801434]
  36. exclude_channels: []
  37. car_channels: []
  38. n_channels: 128
  39. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  40. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2020-03-20,
  41. filename_data: /data/clinical/neural/fr/2020-03-20/data_16_56_38.bin, filename_baseline: /data/clinical/neural/fr/2020-03-20/bl_16_56_38.npy,
  42. filename_log_info: /data/clinical/neural/fr/2020-03-20/info_16_56_38.log, filename_log_debug: /data/clinical/neural/fr/2020-03-20/debug_16_56_38.log,
  43. filename_events: /data/clinical/neural/fr/2020-03-20/events_16_56_38.txt, filename_config: /data/clinical/neural/fr/2020-03-20/config_16_56_38.yaml,
  44. filename_paradigm: /data/clinical/neural/fr/2020-03-20/paradigm_16_56_38.yaml, filename_config_dump: /data/clinical/neural/fr/2020-03-20/config_dump_16_56_38.yaml,
  45. filename_git_patch: /data/clinical/neural/fr/2020-03-20/git_changes_16_56_38.patch,
  46. filename_history: /data/clinical/neural/fr/2020-03-20/history.bin, git_hash: 678b177}
  47. feedback: !munch.Munch {feedback_tone: true, hold_iterations: 2, target_tone_length: 1.0,
  48. tone_length: 0.25, target_n_tones: 5, beta: 120, alpha: 360}
  49. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/colorspeller.yaml]
  50. paradigms: !munch.Munch
  51. variablesToShowInGUI: !munch.Munch
  52. variableGroups: [timing, color]
  53. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  54. t: 1
  55. color: !munch.Munch
  56. corpora_path: /kiap/data/speller/Corpora
  57. max_length_vocabulary: 5
  58. validation_string: ''
  59. selected_opposite_answers_method: 0
  60. mode: [Validation, Free]
  61. general_corpus: cfd_leipzig.p
  62. n_repeat_unclassified: 1
  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. - [<, ' ', <<<, ., end, ^]
  74. confirmation_num_yes: 2
  75. init_string: ''
  76. opposite_answers_methods: [last, majority]
  77. word_prediction: false
  78. confirmation_num_no: 1
  79. audio_path: /kiap/data/speller/Audio
  80. speller_user_corpus: speller_user.txt
  81. general_user_corpus: general_user_cfd.txt
  82. selected_mode: 1
  83. exploration: !munch.Munch
  84. mode: [Screening]
  85. selected_mode: 0
  86. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  87. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  88. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  89. audio_path: /kiap/data/speller/Audio/exploration
  90. number_of_stim: 5
  91. training_color: !munch.Munch
  92. mode: [Training]
  93. selected_mode: 0
  94. states:
  95. - - gelb
  96. - [E, A, D, C, B, F, ^]
  97. - - gruen
  98. - [N, S, R, O, M, P, Q, ^]
  99. - - rot
  100. - [I, H, L, G, K, J, ^]
  101. - - blau
  102. - [T, U, W, Z, V, Y, X, ^]
  103. - - weiss
  104. - [<, <<<, ., '?', word, end, ^]
  105. training_string: Gustav
  106. confirmation_yes: 1
  107. confirmation_no: 1
  108. feedback: !munch.Munch
  109. number_of_stim: 15
  110. audio_path: /kiap/data/speller/feedback/
  111. mode: [Training, Validation]
  112. symmetrical: true
  113. selected_mode: 0
  114. states: !munch.Munch
  115. down: [0.0, 0.0, 0.3]
  116. up: [1.0, 0.7, 1.0]
  117. play_end_feedback: !munch.Munch {success: true, fail: true}
  118. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  119. question: !munch.Munch
  120. mode: [Training, Validation, Free]
  121. selected_mode: 1
  122. audio_path: /kiap/data/speller/Audio/question
  123. number_of_stim: 10
  124. symmetrical: true
  125. system: !munch.Munch {plot: 0}
  126. speller: !munch.Munch {pyttsx_rate: 100, audio: true, speller_matrix: true, audio_result_fb: false,
  127. type: color}
  128. lfp: !munch.Munch
  129. fs: 1000
  130. sampling_ratio: 30
  131. filter_fc_lb: [10, 0]
  132. filter_fc_mb: [12, 40]
  133. filter_fc_hb: [60, 250]
  134. filter_order_lb: 2
  135. filter_order_mb: 6
  136. filter_order_hb: 10
  137. artifact_thr: 400
  138. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  139. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  140. array21: [0, 1]
  141. array22: []
  142. array1_exclude: []
  143. array2_exclude: []
  144. i_start: 0
  145. i_stop: -1
  146. psth_win: [-1000, 5000]
  147. exclude: false
  148. normalize: false
  149. zscore: false
  150. car: true
  151. sub_band: 1
  152. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  153. spectra: !munch.Munch {spgr_len: 500}
  154. plot: !munch.Munch
  155. ch_ids: [0]
  156. general: true
  157. filters: false
  158. array2: [0, 1]
  159. recording: !munch.Munch
  160. timing: !munch.Munch {decoder_refresh_interval: 0.01, t_after_stimulus: 0.2, t_response: 5.0,
  161. t_baseline_all: 1.0, recording_loop_interval: 0.05, recording_loop_interval_data: 0.02,
  162. t_baseline_rand: 1.0, bci_loop_interval: 0.05, t_baseline_1: 5.0}
  163. classifier: !munch.Munch
  164. saved_model_conf_name: config/model_conf.yaml
  165. psth: !munch.Munch
  166. cut: [-40, 100]
  167. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  168. args:
  169. - !!python/name:numpy.ndarray ''
  170. - !!python/tuple [0]
  171. - !!binary |
  172. Yg==
  173. state: !!python/tuple
  174. - 1
  175. - !!python/tuple [8]
  176. - !!python/object/apply:numpy.dtype
  177. args: [i8, 0, 1]
  178. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  179. - false
  180. - !!binary |
  181. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  182. AAAAAAAAAA==
  183. online: false
  184. n_triggers: 2
  185. thr_prob: 0.8
  186. deadtime: 40
  187. n_classes: 2
  188. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  189. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  190. thr_window: 40
  191. include_channels: [20]
  192. exclude_data_channels: []
  193. trigger_pos: start
  194. n_neg_train: 100000
  195. break_loop: true
  196. max_active_ch_nr: []
  197. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  198. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  199. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  200. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  201. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  202. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  203. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  204. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  205. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  206. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  207. n_features: 1024
  208. buffer: !munch.Munch
  209. length: 600
  210. shape: [600, 128]
  211. sim_data: !munch.Munch {rate_bl: 10}
  212. general: !munch.Munch {debug: 1, clear_trial_history: false}
  213. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}