config_dump_16_41_14.yaml 8.0 KB

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  1. !munch.Munch
  2. general: !munch.Munch {debug: 1, clear_trial_history: false}
  3. paradigms: !munch.Munch
  4. color: !munch.Munch
  5. mode: [Validation, Free]
  6. selected_mode: 1
  7. states:
  8. - - gelb
  9. - [E, A, D, C, B, F, ^]
  10. - - gruen
  11. - [N, S, R, O, M, P, Q, ^]
  12. - - rot
  13. - [I, H, L, G, K, J, ^]
  14. - - blau
  15. - [T, U, W, Z, V, Y, X, ^]
  16. - - weiss
  17. - [<, ' ', <<<, ., end, ^]
  18. max_length_vocabulary: 5
  19. confirmation_num_yes: 2
  20. confirmation_num_no: 1
  21. opposite_answers_methods: [last, majority]
  22. selected_opposite_answers_method: 0
  23. corpora_path: /kiap/data/speller/Corpora
  24. audio_path: /kiap/data/speller/Audio
  25. general_corpus: cfd_leipzig.p
  26. general_user_corpus: general_user_cfd.txt
  27. speller_user_corpus: speller_user.txt
  28. word_prediction: true
  29. validation_string: ''
  30. init_string: ''
  31. n_repeat_unclassified: 1
  32. training_color: !munch.Munch
  33. mode: [Training]
  34. selected_mode: 0
  35. states:
  36. - - gelb
  37. - [E, A, D, C, B, F, ^]
  38. - - gruen
  39. - [N, S, R, O, M, P, Q, ^]
  40. - - rot
  41. - [I, H, L, G, K, J, ^]
  42. - - blau
  43. - [T, U, W, Z, V, Y, X, ^]
  44. - - weiss
  45. - [<, <<<, ., '?', word, end, ^]
  46. training_string: Gustav
  47. confirmation_yes: 1
  48. confirmation_no: 1
  49. variablesToShowInGUI: !munch.Munch
  50. variableGroups: [timing, color]
  51. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  52. t: 1
  53. question: !munch.Munch
  54. mode: [Training, Validation, Free]
  55. selected_mode: 1
  56. audio_path: /kiap/data/speller/Audio/question
  57. number_of_stim: 10
  58. symmetrical: true
  59. exploration: !munch.Munch
  60. mode: [Screening]
  61. selected_mode: 0
  62. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  63. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  64. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  65. audio_path: /kiap/data/speller/Audio/exploration
  66. number_of_stim: 5
  67. feedback: !munch.Munch
  68. play_end_feedback: !munch.Munch {success: true, fail: true}
  69. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  70. states: !munch.Munch
  71. up: [1.0, 0.7, 1.0]
  72. down: [0.0, 0.0, 0.3]
  73. mode: [Training, Validation]
  74. symmetrical: true
  75. selected_mode: 0
  76. audio_path: /kiap/data/speller/feedback/
  77. number_of_stim: 10
  78. session: !munch.Munch
  79. flags: !munch.Munch {bl_rand: true, stimulus: true, bl: true, decode: false}
  80. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  81. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  82. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2020-04-29,
  83. filename_data: /data/clinical/neural/fr/2020-04-29/data_16_41_14.bin, filename_baseline: /data/clinical/neural/fr/2020-04-29/bl_16_41_14.npy,
  84. filename_log_info: /data/clinical/neural/fr/2020-04-29/info_16_41_14.log, filename_log_debug: /data/clinical/neural/fr/2020-04-29/debug_16_41_14.log,
  85. filename_events: /data/clinical/neural/fr/2020-04-29/events_16_41_14.txt, filename_config: /data/clinical/neural/fr/2020-04-29/config_16_41_14.yaml,
  86. filename_paradigm: /data/clinical/neural/fr/2020-04-29/paradigm_16_41_14.yaml, filename_config_dump: /data/clinical/neural/fr/2020-04-29/config_dump_16_41_14.yaml,
  87. filename_git_patch: /data/clinical/neural/fr/2020-04-29/git_changes_16_41_14.patch,
  88. filename_history: /data/clinical/neural/fr/2020-04-29/history.bin, filename_corpus: /data/clinical/neural/fr/2020-04-29/user_corpus_16_41_14.txt,
  89. git_hash: 7433eaa}
  90. feedback: !munch.Munch {target_tone_length: 1.0, target_n_tones: 5, alpha: 360, hold_iterations: 2,
  91. beta: 120, feedback_tone: true, tone_length: 0.25}
  92. daq: !munch.Munch
  93. normalization: !munch.Munch
  94. range: [10, 90]
  95. do_update: false
  96. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  97. clamp_firing_rates: true
  98. len: 600.0
  99. update_interval: 10.0
  100. use_all_channels: false
  101. channels:
  102. - !munch.Munch {id: 20, bottom: 2, top: 4, invert: true}
  103. spike_band_power: !munch.Munch
  104. loop_interval: 50
  105. integrated_samples: 1500
  106. filter: !munch.Munch
  107. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  108. a: [1, -1.91119706742607, 0.914975834801434]
  109. sample_group: 6
  110. average_n_bins: 10
  111. exclude_channels: []
  112. trigger_len: 50
  113. smpl_fct: 30
  114. data_source: spike_rates
  115. n_channels_max: 128
  116. daq_sleep: 0.1
  117. car_channels: []
  118. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  119. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  120. fs: 30000.0
  121. n_channels: 128
  122. classifier: !munch.Munch
  123. n_classes: 2
  124. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  125. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  126. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  127. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  128. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  129. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  130. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  131. trigger_pos: start
  132. exclude_data_channels: []
  133. thr_prob: 0.8
  134. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  135. args:
  136. - !!python/name:numpy.ndarray ''
  137. - !!python/tuple [0]
  138. - !!binary |
  139. Yg==
  140. state: !!python/tuple
  141. - 1
  142. - !!python/tuple [8]
  143. - !!python/object/apply:numpy.dtype
  144. args: [i8, 0, 1]
  145. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  146. - false
  147. - !!binary |
  148. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  149. AAAAAAAAAA==
  150. online: false
  151. n_neg_train: 100000
  152. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  153. include_channels: [20]
  154. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  155. deadtime: 40
  156. max_active_ch_nr: []
  157. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  158. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  159. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  160. n_triggers: 2
  161. thr_window: 40
  162. saved_model_conf_name: config/model_conf.yaml
  163. break_loop: true
  164. psth: !munch.Munch
  165. cut: [-40, 100]
  166. n_features: 1024
  167. buffer: !munch.Munch
  168. length: 600
  169. shape: [600, 128]
  170. plot: !munch.Munch
  171. filter_min_rate: 2
  172. channels: [20, 96, 109]
  173. pca: false
  174. fps: 10.0
  175. recording: !munch.Munch
  176. timing: !munch.Munch {decoder_refresh_interval: 0.01, t_baseline_1: 5.0, recording_loop_interval_data: 0.02,
  177. t_response: 5.0, t_after_stimulus: 0.2, t_baseline_all: 1.0, recording_loop_interval: 0.05,
  178. bci_loop_interval: 0.05, t_baseline_rand: 1.0}
  179. lfp: !munch.Munch
  180. fs: 1000
  181. sampling_ratio: 30
  182. filter_fc_lb: [10, 0]
  183. filter_fc_mb: [12, 40]
  184. filter_fc_hb: [60, 250]
  185. filter_order_lb: 2
  186. filter_order_mb: 6
  187. filter_order_hb: 10
  188. artifact_thr: 400
  189. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  190. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  191. array21: [0, 1]
  192. array22: []
  193. array1_exclude: []
  194. array2_exclude: []
  195. i_start: 0
  196. i_stop: -1
  197. psth_win: [-1000, 5000]
  198. exclude: false
  199. normalize: false
  200. zscore: false
  201. car: true
  202. sub_band: 1
  203. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  204. spectra: !munch.Munch {spgr_len: 500}
  205. plot: !munch.Munch
  206. ch_ids: [0]
  207. general: true
  208. filters: false
  209. array2: [0, 1]
  210. speller: !munch.Munch {audio_result_fb: false, pyttsx_rate: 100, type: feedback, speller_matrix: true,
  211. audio: true}
  212. sim_data: !munch.Munch {rate_bl: 10}
  213. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/feedback.yaml]
  214. system: !munch.Munch {plot: 0}