config_dump_14_17_55.yaml 7.9 KB

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  1. !munch.Munch
  2. speller: !munch.Munch {type: feedback, pyttsx_rate: 100, speller_matrix: true, audio: true,
  3. audio_result_fb: true}
  4. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/feedback.yaml]
  5. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  6. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2019-08-21,
  7. filename_data: /data/clinical/neural/fr/2019-08-21/data_14_17_55.bin, filename_baseline: /data/clinical/neural/fr/2019-08-21/bl_14_17_55.npy,
  8. filename_log_info: /data/clinical/neural/fr/2019-08-21/info_14_17_55.log, filename_log_debug: /data/clinical/neural/fr/2019-08-21/debug_14_17_55.log,
  9. filename_events: /data/clinical/neural/fr/2019-08-21/events_14_17_55.txt, filename_config: /data/clinical/neural/fr/2019-08-21/config_14_17_55.yaml,
  10. filename_paradigm: /data/clinical/neural/fr/2019-08-21/paradigm_14_17_55.yaml, filename_config_dump: /data/clinical/neural/fr/2019-08-21/config_dump_14_17_55.yaml,
  11. filename_git_patch: /data/clinical/neural/fr/2019-08-21/git_changes_14_17_55.patch,
  12. filename_history: /data/clinical/neural/fr/2019-08-21/history.bin, git_hash: 6fcc149}
  13. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  14. lfp: !munch.Munch
  15. fs: 1000
  16. sampling_ratio: 30
  17. filter_fc_lb: [10, 0]
  18. filter_fc_mb: [12, 40]
  19. filter_fc_hb: [60, 250]
  20. filter_order_lb: 2
  21. filter_order_mb: 6
  22. filter_order_hb: 10
  23. artifact_thr: 400
  24. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  25. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  26. array21: [0, 1]
  27. array22: []
  28. array1_exclude: []
  29. array2_exclude: []
  30. i_start: 0
  31. i_stop: -1
  32. psth_win: [-1000, 5000]
  33. exclude: false
  34. normalize: false
  35. zscore: false
  36. car: true
  37. sub_band: 1
  38. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  39. spectra: !munch.Munch {spgr_len: 500}
  40. plot: !munch.Munch
  41. ch_ids: [0]
  42. general: true
  43. filters: false
  44. array2: [0, 1]
  45. feedback: !munch.Munch {hold_iterations: 2, feedback_tone: true, target_n_tones: 5,
  46. target_tone_length: 1.0, tone_length: 0.25, beta: 120, alpha: 360}
  47. paradigms: !munch.Munch
  48. feedback: !munch.Munch
  49. audio_path: /kiap/data/speller/feedback/
  50. symmetrical: true
  51. states: !munch.Munch
  52. up: [1.0, 0.7, 1.0]
  53. down: [0.0, 0.0, 0.3]
  54. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  55. number_of_stim: 10
  56. play_end_feedback: !munch.Munch {fail: true, success: true}
  57. selected_mode: 0
  58. mode: [Training, Validation]
  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. training_color: !munch.Munch
  68. mode: [Training]
  69. selected_mode: 0
  70. states:
  71. - - gelb
  72. - [E, A, D, C, B, F, ^]
  73. - - gruen
  74. - [N, S, R, O, M, P, Q, ^]
  75. - - rot
  76. - [I, H, L, G, K, J, ^]
  77. - - blau
  78. - [T, U, W, Z, V, Y, X, ^]
  79. - - weiss
  80. - [<, ' ', '?', word, end, ^]
  81. training_string: Gustav
  82. confirmation_yes: 1
  83. confirmation_no: 1
  84. question: !munch.Munch
  85. mode: [Training, Validation, Free]
  86. selected_mode: 2
  87. audio_path: /kiap/data/speller/Audio/question
  88. number_of_stim: 10
  89. symmetrical: true
  90. color: !munch.Munch
  91. mode: [Validation, Free]
  92. selected_mode: 1
  93. states:
  94. - - gelb
  95. - [E, A, D, C, B, F, ^]
  96. - - gruen
  97. - [N, S, R, O, M, P, Q, ^]
  98. - - rot
  99. - [I, H, L, G, K, J, ^]
  100. - - blau
  101. - [T, U, W, Z, V, Y, X, ^]
  102. - - weiss
  103. - [<, ' ', '?', word, end, ^]
  104. max_length_vocabulary: 5
  105. confirmation_methods: [single, double_yes, best_of_three]
  106. selected_confirmation_method: 0
  107. corpora_path: /kiap/data/speller/Corpora
  108. audio_path: /kiap/data/speller/Audio
  109. general_corpus: cfd_tiger.p
  110. general_user_corpus: general_user_cfd.txt
  111. speller_user_corpus: speller_user.txt
  112. word_prediction: false
  113. validation_string: FELIX.
  114. init_string: ''
  115. n_repeat_unclassified: 1
  116. variablesToShowInGUI: !munch.Munch
  117. variableGroups: [timing, color]
  118. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  119. t: 1
  120. system: !munch.Munch {plot: 0}
  121. general: !munch.Munch {debug: 1, clear_trial_history: false}
  122. classifier: !munch.Munch
  123. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  124. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  125. n_neg_train: 100000
  126. exclude_data_channels: []
  127. trigger_pos: start
  128. saved_model_conf_name: config/model_conf.yaml
  129. n_triggers: 2
  130. online: false
  131. thr_window: 40
  132. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  133. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  134. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  135. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  136. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  137. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  138. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  139. include_channels: [20]
  140. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  141. args:
  142. - !!python/name:numpy.ndarray ''
  143. - !!python/tuple [0]
  144. - !!binary |
  145. Yg==
  146. state: !!python/tuple
  147. - 1
  148. - !!python/tuple [8]
  149. - !!python/object/apply:numpy.dtype
  150. args: [i8, 0, 1]
  151. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  152. - false
  153. - !!binary |
  154. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  155. AAAAAAAAAA==
  156. break_loop: true
  157. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  158. n_classes: 2
  159. psth: !munch.Munch
  160. cut: [-40, 100]
  161. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  162. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  163. max_active_ch_nr: []
  164. deadtime: 40
  165. thr_prob: 0.8
  166. n_features: 1024
  167. sim_data: !munch.Munch {rate_bl: 10}
  168. recording: !munch.Munch
  169. timing: !munch.Munch {t_baseline_all: 1.0, t_baseline_rand: 1.0, bci_loop_interval: 0.05,
  170. recording_loop_interval: 0.05, decoder_refresh_interval: 0.01, recording_loop_interval_data: 0.02,
  171. t_baseline_1: 5.0, t_response: 5.0, t_after_stimulus: 0.5}
  172. plot: !munch.Munch
  173. pca: false
  174. filter_min_rate: 2
  175. channels: [20, 24, 99]
  176. fps: 10.0
  177. session: !munch.Munch
  178. flags: !munch.Munch {bl_rand: true, bl: true, stimulus: true, decode: false}
  179. buffer: !munch.Munch
  180. length: 600
  181. shape: [600, 128]
  182. daq: !munch.Munch
  183. fs: 30000.0
  184. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  185. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  186. car_channels: []
  187. trigger_len: 50
  188. daq_sleep: 0.1
  189. smpl_fct: 30
  190. normalization: !munch.Munch
  191. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  192. use_all_channels: false
  193. channels:
  194. - !munch.Munch {id: 20, bottom: 5.1, top: 10.0, invert: true}
  195. len: 600.0
  196. range: [10, 90]
  197. update_interval: 10.0
  198. clamp_firing_rates: true
  199. do_update: false
  200. spike_band_power: !munch.Munch
  201. average_n_bins: 10
  202. integrated_samples: 1500
  203. filter: !munch.Munch
  204. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  205. a: [1, -1.91119706742607, 0.914975834801434]
  206. sample_group: 6
  207. loop_interval: 50
  208. exclude_channels: []
  209. data_source: spike_rates
  210. n_channels_max: 128
  211. n_channels: 128