config_dump_14_25_01.yaml 7.9 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211
  1. !munch.Munch
  2. daq: !munch.Munch
  3. smpl_fct: 30
  4. daq_sleep: 0.1
  5. normalization: !munch.Munch
  6. clamp_firing_rates: true
  7. use_all_channels: false
  8. len: 600.0
  9. range: [10, 90]
  10. do_update: false
  11. channels:
  12. - !munch.Munch {id: 20, bottom: 5.1, top: 10.0, invert: true}
  13. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  14. update_interval: 10.0
  15. trigger_len: 50
  16. n_channels_max: 128
  17. fs: 30000.0
  18. spike_band_power: !munch.Munch
  19. sample_group: 6
  20. integrated_samples: 1500
  21. filter: !munch.Munch
  22. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  23. a: [1, -1.91119706742607, 0.914975834801434]
  24. average_n_bins: 10
  25. loop_interval: 50
  26. data_source: spike_rates
  27. exclude_channels: []
  28. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  29. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  30. car_channels: []
  31. n_channels: 128
  32. lfp: !munch.Munch
  33. fs: 1000
  34. sampling_ratio: 30
  35. filter_fc_lb: [10, 0]
  36. filter_fc_mb: [12, 40]
  37. filter_fc_hb: [60, 250]
  38. filter_order_lb: 2
  39. filter_order_mb: 6
  40. filter_order_hb: 10
  41. artifact_thr: 400
  42. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  43. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  44. array21: [0, 1]
  45. array22: []
  46. array1_exclude: []
  47. array2_exclude: []
  48. i_start: 0
  49. i_stop: -1
  50. psth_win: [-1000, 5000]
  51. exclude: false
  52. normalize: false
  53. zscore: false
  54. car: true
  55. sub_band: 1
  56. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  57. spectra: !munch.Munch {spgr_len: 500}
  58. plot: !munch.Munch
  59. ch_ids: [0]
  60. general: true
  61. filters: false
  62. array2: [0, 1]
  63. recording: !munch.Munch
  64. timing: !munch.Munch {t_baseline_rand: 1.0, t_baseline_1: 5.0, t_after_stimulus: 0.2,
  65. recording_loop_interval_data: 0.02, bci_loop_interval: 0.05, t_baseline_all: 1.0,
  66. recording_loop_interval: 0.05, decoder_refresh_interval: 0.01, t_response: 5.0}
  67. sim_data: !munch.Munch {rate_bl: 10}
  68. classifier: !munch.Munch
  69. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  70. n_triggers: 2
  71. n_classes: 2
  72. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  73. args:
  74. - !!python/name:numpy.ndarray ''
  75. - !!python/tuple [0]
  76. - !!binary |
  77. Yg==
  78. state: !!python/tuple
  79. - 1
  80. - !!python/tuple [8]
  81. - !!python/object/apply:numpy.dtype
  82. args: [i8, 0, 1]
  83. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  84. - false
  85. - !!binary |
  86. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  87. AAAAAAAAAA==
  88. trigger_pos: start
  89. break_loop: true
  90. thr_prob: 0.8
  91. psth: !munch.Munch
  92. cut: [-40, 100]
  93. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  94. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  95. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  96. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  97. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  98. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  99. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  100. thr_window: 40
  101. n_neg_train: 100000
  102. online: false
  103. include_channels: [20]
  104. max_active_ch_nr: []
  105. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  106. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  107. saved_model_conf_name: config/model_conf.yaml
  108. exclude_data_channels: []
  109. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  110. deadtime: 40
  111. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  112. n_features: 1024
  113. speller: !munch.Munch {pyttsx_rate: 100, audio_result_fb: true, audio: true, type: color,
  114. speller_matrix: true}
  115. plot: !munch.Munch
  116. channels: [20, 24, 99]
  117. pca: false
  118. fps: 10.0
  119. filter_min_rate: 2
  120. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/colorspeller.yaml]
  121. system: !munch.Munch {plot: 0}
  122. general: !munch.Munch {debug: 1, clear_trial_history: false}
  123. feedback: !munch.Munch {target_tone_length: 1.0, alpha: 360, target_n_tones: 5, feedback_tone: true,
  124. beta: 120, tone_length: 0.25, hold_iterations: 2}
  125. buffer: !munch.Munch
  126. length: 600
  127. shape: [600, 128]
  128. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  129. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2019-08-14,
  130. filename_data: /data/clinical/neural/fr/2019-08-14/data_14_25_01.bin, filename_baseline: /data/clinical/neural/fr/2019-08-14/bl_14_25_01.npy,
  131. filename_log_info: /data/clinical/neural/fr/2019-08-14/info_14_25_01.log, filename_log_debug: /data/clinical/neural/fr/2019-08-14/debug_14_25_01.log,
  132. filename_events: /data/clinical/neural/fr/2019-08-14/events_14_25_01.txt, filename_config: /data/clinical/neural/fr/2019-08-14/config_14_25_01.yaml,
  133. filename_paradigm: /data/clinical/neural/fr/2019-08-14/paradigm_14_25_01.yaml, filename_config_dump: /data/clinical/neural/fr/2019-08-14/config_dump_14_25_01.yaml,
  134. filename_git_patch: /data/clinical/neural/fr/2019-08-14/git_changes_14_25_01.patch,
  135. filename_history: /data/clinical/neural/fr/2019-08-14/history.bin, git_hash: 6fcc149}
  136. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  137. paradigms: !munch.Munch
  138. question: !munch.Munch
  139. mode: [Training, Validation, Free]
  140. selected_mode: 2
  141. audio_path: /kiap/data/speller/Audio/question
  142. number_of_stim: 10
  143. symmetrical: true
  144. color: !munch.Munch
  145. mode: [Validation, Free]
  146. init_string: ''
  147. general_user_corpus: general_user_cfd.txt
  148. max_length_vocabulary: 5
  149. selected_mode: 1
  150. general_corpus: cfd_tiger.p
  151. corpora_path: /kiap/data/speller/Corpora
  152. n_repeat_unclassified: 1
  153. selected_confirmation_method: 0
  154. speller_user_corpus: speller_user.txt
  155. word_prediction: false
  156. states:
  157. - - gelb
  158. - [E, A, D, C, B, F, ^]
  159. - - gruen
  160. - [N, S, R, O, M, P, Q, ^]
  161. - - rot
  162. - [I, H, L, G, K, J, ^]
  163. - - blau
  164. - [T, U, W, Z, V, Y, X, ^]
  165. - - weiss
  166. - [<, ' ', '?', word, end, ^]
  167. audio_path: /kiap/data/speller/Audio
  168. confirmation_methods: [single, double_yes, best_of_three]
  169. validation_string: FELIX.
  170. exploration: !munch.Munch
  171. mode: [Screening]
  172. selected_mode: 0
  173. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  174. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  175. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  176. audio_path: /kiap/data/speller/Audio/exploration
  177. number_of_stim: 5
  178. feedback: !munch.Munch
  179. mode: [Training, Validation]
  180. play_end_feedback: !munch.Munch {success: true, fail: true}
  181. number_of_stim: 10
  182. selected_mode: 0
  183. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  184. states: !munch.Munch
  185. down: [0.0, 0.0, 0.3]
  186. up: [1.0, 0.7, 1.0]
  187. audio_path: /kiap/data/speller/feedback/
  188. symmetrical: true
  189. variablesToShowInGUI: !munch.Munch
  190. variableGroups: [timing, color]
  191. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  192. t: 1
  193. training_color: !munch.Munch
  194. mode: [Training]
  195. selected_mode: 0
  196. states:
  197. - - gelb
  198. - [E, A, D, C, B, F, ^]
  199. - - gruen
  200. - [N, S, R, O, M, P, Q, ^]
  201. - - rot
  202. - [I, H, L, G, K, J, ^]
  203. - - blau
  204. - [T, U, W, Z, V, Y, X, ^]
  205. - - weiss
  206. - [<, ' ', '?', word, end, ^]
  207. training_string: Gustav
  208. confirmation_yes: 1
  209. confirmation_no: 1
  210. session: !munch.Munch
  211. flags: !munch.Munch {decode: false, bl: true, stimulus: true, bl_rand: true}