{"id":26425,"date":"2024-02-25T18:09:20","date_gmt":"2024-02-25T19:09:20","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%d9%85%d9%82%d8%a7%d9%84%d9%87-cnn-bilstm-%d9%85%d8%a8%d8%aa%d9%86%db%8c-%d8%a8%d8%b1-%d8%aa%d9%88%d8%ac%d9%87-%d8%a8%d8%b1%d8%a7%db%8c-%d8%b7%d8%a8%d9%82%d9%87%d8%a8%d9%86%d8%af%db%8c-%d8%ad\/"},"modified":"2024-02-25T18:09:21","modified_gmt":"2024-02-25T19:09:21","slug":"%d9%85%d9%82%d8%a7%d9%84%d9%87-cnn-bilstm-%d9%85%d8%a8%d8%aa%d9%86%db%8c-%d8%a8%d8%b1-%d8%aa%d9%88%d8%ac%d9%87-%d8%a8%d8%b1%d8%a7%db%8c-%d8%b7%d8%a8%d9%82%d9%87%d8%a8%d9%86%d8%af%db%8c-%d8%ad","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%d9%85%d9%82%d8%a7%d9%84%d9%87-cnn-bilstm-%d9%85%d8%a8%d8%aa%d9%86%db%8c-%d8%a8%d8%b1-%d8%aa%d9%88%d8%ac%d9%87-%d8%a8%d8%b1%d8%a7%db%8c-%d8%b7%d8%a8%d9%82%d9%87%d8%a8%d9%86%d8%af%db%8c-%d8%ad\/","title":{"rendered":"\u0645\u0642\u0627\u0644\u0647 CNN-BiLSTM \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u062a\u0648\u062c\u0647 \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u062d\u0627\u0644\u062a \u062e\u0648\u0627\u0628 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u062a\u0635\u0648\u06cc\u0631\u0628\u0631\u062f\u0627\u0631\u06cc \u0645\u06cc\u062f\u0627\u0646 \u0648\u0633\u06cc\u0639 \u06a9\u0644\u0633\u06cc\u0645 \u0641\u0636\u0627\u06cc\u06cc-\u0632\u0645\u0627\u0646\u06cc"},"content":{"rendered":"\n\n\n\n\n\n\n\n\n\n\n
\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc <\/td>\nAttention-Based CNN-BiLSTM for Sleep State Classification of Spatiotemporal Wide-Field Calcium Imaging Data<\/td>\n<\/tr>\n
\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc <\/td>\n\u0645\u0642\u0627\u0644\u0647 CNN-bilstm \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u062a\u0648\u062c\u0647 \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u062d\u0627\u0644\u062a \u062e\u0648\u0627\u0628 \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062a\u0635\u0648\u06cc\u0631\u0628\u0631\u062f\u0627\u0631\u06cc \u06a9\u0644\u0633\u06cc\u0645 \u062f\u0631 \u0645\u06cc\u062f\u0627\u0646 \u06af\u0633\u062a\u0631\u062f\u0647 \u0641\u0636\u0627\u06cc\u06cc<\/td>\n<\/tr>\n
\u0646\u0648\u06cc\u0633\u0646\u062f\u06af\u0627\u0646 <\/td>\nXiaohui Zhang, Eric C. Landsness, Hanyang Miao, Wei Chen, Michelle Tang, Lindsey M. Brier, Joseph P. Culver, Jin-Moo Lee, Mark A. Anastasio<\/td>\n<\/tr>\n
\u0632\u0628\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 <\/td>\n\u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/td>\n<\/tr>\n
\u0641\u0631\u0645\u062a \u0645\u0642\u0627\u0644\u0647: <\/td>\nPDF<\/td>\n<\/tr>\n
\u062a\u0639\u062f\u0627\u062f \u0635\u0641\u062d\u0627\u062a<\/td>\n17<\/td>\n<\/tr>\n
\u062f\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u0645\u0648\u0636\u0648\u0639\u0627\u062a <\/td>\nImage and Video Processing,Neurons and Cognition,\u067e\u0631\u062f\u0627\u0632\u0634 \u062a\u0635\u0648\u06cc\u0631 \u0648 \u0641\u06cc\u0644\u0645 , \u0646\u0648\u0631\u0648\u0646 \u0648 \u0634\u0646\u0627\u062e\u062a ,<\/td>\n<\/tr>\n
\u062a\u0648\u0636\u06cc\u062d\u0627\u062a <\/td>\nSubmitted 15 January, 2024; originally announced January 2024.<\/td>\n<\/tr>\n
\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc <\/td>\n\u0627\u0631\u0633\u0627\u0644 \u0634\u062f\u0647 \u062f\u0631 15 \u0698\u0627\u0646\u0648\u06cc\u0647 2024 \u061b\u062f\u0631 \u0627\u0628\u062a\u062f\u0627 \u0698\u0627\u0646\u0648\u06cc\u0647 2024 \u0627\u0639\u0644\u0627\u0645 \u0634\u062f.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u0686\u06a9\u06cc\u062f\u0647<\/h2>\n

Background: Wide-field calcium imaging (WFCI) with genetically encoded calcium indicators allows for spatiotemporal recordings of neuronal activity in mice. When applied to the study of sleep, WFCI data are manually scored into the sleep states of wakefulness, non-REM (NREM) and REM by use of adjunct EEG and EMG recordings. However, this process is time-consuming, invasive and often suffers from low inter- and intra-rater reliability. Therefore, an automated sleep state classification method that operates on spatiotemporal WFCI data is desired. New Method: A hybrid network architecture consisting of a convolutional neural network (CNN) to extract spatial features of image frames and a bidirectional long short-term memory network (BiLSTM) with attention mechanism to identify temporal dependencies among different time points was proposed to classify WFCI data into states of wakefulness, NREM and REM sleep. Results: Sleep states were classified with an accuracy of 84% and Cohen’s kappa of 0.64. Gradient-weighted class activation maps revealed that the frontal region of the cortex carries more importance when classifying WFCI data into NREM sleep while posterior area contributes most to the identification of wakefulness. The attention scores indicated that the proposed network focuses on short- and long-range temporal dependency in a state-specific manner. Comparison with Existing Method: On a 3-hour WFCI recording, the CNN-BiLSTM achieved a kappa of 0.67, comparable to a kappa of 0.65 corresponding to the human EEG\/EMG-based scoring. Conclusions: The CNN-BiLSTM effectively classifies sleep states from spatiotemporal WFCI data and will enable broader application of WFCI in sleep.<\/p>\n

\u0686\u06a9\u06cc\u062f\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062a\u0631\u062c\u0645\u0647 \u0645\u0627\u0634\u06cc\u0646\u06cc)<\/h2>\n

\u0633\u0627\u0628\u0642\u0647 \u0648 \u0647\u062f\u0641: \u062a\u0635\u0648\u06cc\u0631\u0628\u0631\u062f\u0627\u0631\u06cc \u06a9\u0644\u0633\u06cc\u0645 \u062f\u0631 \u0645\u06cc\u062f\u0627\u0646 \u06af\u0633\u062a\u0631\u062f\u0647 (WFCI) \u0628\u0627 \u0634\u0627\u062e\u0635 \u0647\u0627\u06cc \u06a9\u0644\u0633\u06cc\u0645 \u0631\u0645\u0632\u06af\u0630\u0627\u0631\u06cc \u0634\u062f\u0647 \u0698\u0646\u062a\u06cc\u06a9\u06cc \u0627\u0645\u06a9\u0627\u0646 \u0636\u0628\u0637 \u0645\u06a9\u0627\u0646\u06cc \u0648 \u0645\u06a9\u0627\u0646\u06cc \u0641\u0639\u0627\u0644\u06cc\u062a \u0639\u0635\u0628\u06cc \u062f\u0631 \u0645\u0648\u0634 \u0647\u0627 \u0631\u0627 \u0641\u0631\u0627\u0647\u0645 \u0645\u06cc \u06a9\u0646\u062f.\u0647\u0646\u06af\u0627\u0645\u06cc \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0645\u0637\u0627\u0644\u0639\u0647 \u062e\u0648\u0627\u0628 \u0627\u0639\u0645\u0627\u0644 \u0645\u06cc \u0634\u0648\u062f \u060c \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc WFCI \u0628\u0647 \u0635\u0648\u0631\u062a \u062f\u0633\u062a\u06cc \u062f\u0631 \u062d\u0627\u0644\u062a \u062e\u0648\u0627\u0628 \u0628\u06cc\u062f\u0627\u0631 \u0634\u062f\u0646 \u060c \u063a\u06cc\u0631 REM (NREM) \u0648 REM \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0636\u0628\u0637 \u0647\u0627\u06cc \u06a9\u0645\u06a9\u06cc EEG \u0648 EMG \u0628\u0647 \u062f\u0633\u062a \u0645\u06cc \u0622\u06cc\u0646\u062f.\u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644 \u060c \u0627\u06cc\u0646 \u0641\u0631\u0627\u06cc\u0646\u062f \u0648\u0642\u062a \u06af\u06cc\u0631 \u060c \u062a\u0647\u0627\u062c\u0645\u06cc \u0627\u0633\u062a \u0648 \u0627\u063a\u0644\u0628 \u0627\u0632 \u0642\u0627\u0628\u0644\u06cc\u062a \u0627\u0637\u0645\u06cc\u0646\u0627\u0646 \u0628\u06cc\u0646 \u0648 \u062f\u0627\u062e\u0644 \u0648 \u062f\u0627\u062e\u0644 \u0631\u0646\u062c \u0645\u06cc \u0628\u0631\u062f.\u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u060c \u06cc\u06a9 \u0631\u0648\u0634 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u062e\u0648\u062f\u06a9\u0627\u0631 \u062d\u0627\u0644\u062a \u062e\u0648\u0627\u0628 \u06a9\u0647 \u0628\u0631 \u0627\u0633\u0627\u0633 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc WFCI Spatiotemporal \u06a9\u0627\u0631 \u0645\u06cc \u06a9\u0646\u062f \u060c \u0645\u0648\u0631\u062f \u0646\u0638\u0631 \u0627\u0633\u062a.\u0631\u0648\u0634 \u062c\u062f\u06cc\u062f: \u06cc\u06a9 \u0645\u0639\u0645\u0627\u0631\u06cc \u0634\u0628\u06a9\u0647 \u062a\u0631\u06a9\u06cc\u0628\u06cc \u0645\u062a\u0634\u06a9\u0644 \u0627\u0632 \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u062d\u0644\u0642\u0648\u06cc (CNN) \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0645\u06a9\u0627\u0646\u06cc \u0642\u0627\u0628 \u0647\u0627\u06cc \u062a\u0635\u0648\u06cc\u0631 \u0648 \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u062d\u0627\u0641\u0638\u0647 \u06a9\u0648\u062a\u0627\u0647 \u0645\u062f\u062a \u06a9\u0648\u062a\u0627\u0647 \u062f\u0648 \u0637\u0631\u0641\u0647 (BILSTM) \u0628\u0627 \u0645\u06a9\u0627\u0646\u06cc\u0633\u0645 \u062a\u0648\u062c\u0647 \u0628\u0631\u0627\u06cc \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0648\u0627\u0628\u0633\u062a\u06af\u06cc \u0647\u0627\u06cc \u0632\u0645\u0627\u0646\u06cc \u062f\u0631 \u0646\u0642\u0627\u0637 \u0645\u062e\u062a\u0644\u0641 \u0632\u0645\u0627\u0646\u06cc \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a\u062f\u0627\u062f\u0647 \u0647\u0627\u06cc WFCI \u062f\u0631 \u062d\u0627\u0644\u062a \u0647\u0627\u06cc \u0628\u06cc\u062f\u0627\u0631\u06cc \u060c NREM \u0648 REM \u062e\u0648\u0627\u0628.\u064a\u0627\u0641\u062a\u0647 \u0647\u0627: \u062d\u0627\u0644\u062a \u062e\u0648\u0627\u0628 \u0628\u0627 \u062f\u0642\u062a 84 \u066a \u0648 \u0643\u0627\u067e\u0627 \u06a9\u0648\u0647\u0646 0.64 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0634\u062f.\u0646\u0642\u0634\u0647 \u0647\u0627\u06cc \u0641\u0639\u0627\u0644 \u0633\u0627\u0632\u06cc \u06a9\u0644\u0627\u0633 \u0628\u0627 \u0648\u0632\u0646 \u0634\u06cc\u0628 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f \u06a9\u0647 \u0645\u0646\u0637\u0642\u0647 \u0641\u0631\u0648\u0646\u062a\u0627\u0644 \u0642\u0634\u0631 \u0647\u0646\u06af\u0627\u0645 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc WFCI \u0628\u0647 \u062e\u0648\u0627\u0628 NREM \u0627\u0647\u0645\u06cc\u062a \u0628\u06cc\u0634\u062a\u0631\u06cc \u0645\u06cc \u0628\u062e\u0634\u062f \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u0646\u0627\u062d\u06cc\u0647 \u062e\u0644\u0641\u06cc \u0628\u06cc\u0634\u062a\u0631 \u062f\u0631 \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0628\u06cc\u062f\u0627\u0631\u06cc \u0646\u0642\u0634 \u062f\u0627\u0631\u062f.\u0646\u0645\u0631\u0627\u062a \u062a\u0648\u062c\u0647 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u0634\u0628\u06a9\u0647 \u067e\u06cc\u0634\u0646\u0647\u0627\u062f\u06cc \u0628\u0631 \u0648\u0627\u0628\u0633\u062a\u06af\u06cc \u0632\u0645\u0627\u0646\u06cc \u06a9\u0648\u062a\u0627\u0647 \u0648 \u062f\u0648\u0631\u0628\u0631\u062f \u0628\u0647 \u0631\u0648\u0634\u06cc \u062e\u0627\u0635 \u0627\u0632 \u062d\u0627\u0644\u062a \u0645\u062a\u0645\u0631\u06a9\u0632 \u0627\u0633\u062a.\u0645\u0642\u0627\u06cc\u0633\u0647 \u0628\u0627 \u0631\u0648\u0634 \u0645\u0648\u062c\u0648\u062f: \u062f\u0631 \u0636\u0628\u0637 WFCI 3 \u0633\u0627\u0639\u062a\u0647 \u060c CNN-BILSTM \u0628\u0647 \u06cc\u06a9 \u06a9\u0627\u067e\u0627 0.67 \u060c \u0642\u0627\u0628\u0644 \u0645\u0642\u0627\u06cc\u0633\u0647 \u0628\u0627 \u06cc\u06a9 \u06a9\u0627\u067e\u0627 0.65 \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u0627\u0645\u062a\u06cc\u0627\u0632 \u062f\u0647\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 EEG\/EMG \u0627\u0646\u0633\u0627\u0646\u06cc \u0631\u0633\u06cc\u062f.\u0646\u062a\u06cc\u062c\u0647 \u06af\u06cc\u0631\u06cc: CNN-BILSTM \u0628\u0647 \u0637\u0648\u0631 \u0645\u0624\u062b\u0631 \u062d\u0627\u0644\u062a \u0647\u0627\u06cc \u062e\u0648\u0627\u0628 \u0631\u0627 \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u06a9\u0627\u0646\u06cc WFCI \u0645\u06a9\u0627\u0646\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u06cc \u06a9\u0646\u062f \u0648 \u06a9\u0627\u0631\u0628\u0631\u062f \u06af\u0633\u062a\u0631\u062f\u0647 \u062a\u0631\u06cc \u0627\u0632 WFCI \u0631\u0627 \u062f\u0631 \u062e\u0648\u0627\u0628 \u0627\u0645\u06a9\u0627\u0646 \u067e\u0630\u06cc\u0631 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n\r\n\r\n\t\r\n\t
\r\n\t\u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0632\u0628\u0627\u0646 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc \u0627\u0633\u062a.\r\n\t<\/td>\r\n<\/tr>\r\n\t\r\n
\r\n \u0628\u0631\u0627\u06cc \u0633\u0641\u0627\u0631\u0634 \u062a\u0631\u062c\u0645\u0647 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0647 \u06cc\u06a9\u06cc \u0627\u0632 \u0631\u0648\u0634 \u0647\u0627\u06cc \u062a\u0645\u0627\u0633\u060c \u067e\u06cc\u0627\u0645\u06a9\u060c \u062a\u0644\u06af\u0631\u0627\u0645 \u0648 \u06cc\u0627 \u0648\u0627\u062a\u0633 \u0627\u067e \u0628\u0627 \u0634\u0645\u0627\u0631\u0647 \u0632\u06cc\u0631 \u062a\u0645\u0627\u0633 \u0628\u06af\u06cc\u0631\u06cc\u062f:\r\n\t

\r\n\t09395106248\r\n\t\t\r\n\t\t\r\n\t

\r\n\t\t\u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0634\u0631\u0627\u06cc\u0637 \u062a\u0631\u062c\u0645\u0647 \u0628\u0647 \u0635\u0648\u0631\u062a \u0632\u06cc\u0631 \u0627\u0633\u062a:\r\n\t\t
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    \r\n\t\t
  • \r\n\t\t\u0642\u06cc\u0645\u062a \u0647\u0631 \u0635\u0641\u062d\u0647 \u062a\u0631\u062c\u0645\u0647 \u062f\u0631 \u062d\u0627\u0644 \u062d\u0627\u0636\u0631 40 \u0647\u0632\u0627\u0631 \u062a\u0648\u0645\u0627\u0646 \u0645\u06cc \u0628\u0627\u0634\u062f. \r\n\t\t<\/li>\r\n\t\t
  • \r\n\t\t\u062a\u062d\u0648\u06cc\u0644 \u0645\u0642\u0627\u0644\u0647 \u062a\u0631\u062c\u0645\u0647 \u0634\u062f\u0647 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u0648\u0631\u062f \u0645\u06cc \u0628\u0627\u0634\u062f.\r\n\t\t<\/li>\r\n\t\t
  • \r\n\t\t\u0632\u0645\u0627\u0646 \u062a\u062d\u0648\u06cc\u0644 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647 \u062f\u0631 \u0635\u0648\u0631\u062a \u062f\u0627\u0634\u062a\u0646 \u062a\u0639\u062f\u0627\u062f \u0635\u0641\u062d\u0627\u062a \u0639\u0627\u062f\u06cc \u0628\u06cc\u0646 3 \u062a\u0627 5 \u0631\u0648\u0632 \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f.\r\n\t\t<\/li>\r\n\t\t\r\n\t\t
  • \r\n\t\t\u06a9\u06cc\u0641\u06cc\u062a \u062a\u0631\u062c\u0645\u0647 \u0628\u0633\u06cc\u0627\u0631 \u0628\u0627\u0644\u0627 \u0645\u06cc \u0628\u0627\u0634\u062f. \u0645\u0642\u0627\u0644\u0647 \u0641\u0642\u0637 \u062a\u0648\u0633\u0637 \u0645\u062a\u0631\u062c\u0645\u06cc\u0646 \u0628\u0627 \u0645\u062f\u0631\u06a9 \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u06cc \u0645\u062a\u0631\u062c\u0645\u06cc \u062a\u0631\u062c\u0645\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f.\r\n\t\t<\/li>\r\n\t\t
  • \r\n\t\t\u06a9\u0644\u06cc\u0647 \u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627 \u0646\u06cc\u0632 \u062f\u0631 \u0641\u0627\u06cc\u0644 \u062a\u062d\u0648\u06cc\u0644\u06cc \u0648\u0631\u062f \u062f\u0631\u062c \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.\r\n\t\t<\/li>\r\n\t<\/td>\r\n\t\r\n\t\r\n<\/tr>\r\n<\/table>\r\n\r\n\r\n\n","protected":false},"excerpt":{"rendered":"

    \u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc Attention-Based CNN-BiLSTM for Sleep State Classification of Spatiotemporal Wide-Field Calcium Imaging Data \u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc […]<\/p>\n","protected":false},"featured_media":27,"comment_status":"open","ping_status":"closed","template":"","meta":{"pmpro_default_level":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}}},"product_cat":[15,21],"product_tag":[20,283,260,310],"class_list":{"0":"post-26425","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-15","7":"product_cat-21","8":"product_tag-image-and-video-processing","9":"product_tag-neurons-and-cognition","10":"product_tag-260","11":"product_tag-310","12":"pmpro-has-access","13":"desktop-align-left","14":"tablet-align-left","15":"mobile-align-left","17":"first","18":"instock","19":"downloadable","20":"shipping-taxable","21":"purchasable","22":"product-type-simple"},"yoast_head":"\n\u0645\u0642\u0627\u0644\u0647 CNN-BiLSTM \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u062a\u0648\u062c\u0647 \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u062d\u0627\u0644\u062a \u062e\u0648\u0627\u0628 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u062a\u0635\u0648\u06cc\u0631\u0628\u0631\u062f\u0627\u0631\u06cc \u0645\u06cc\u062f\u0627\u0646 \u0648\u0633\u06cc\u0639 \u06a9\u0644\u0633\u06cc\u0645 \u0641\u0636\u0627\u06cc\u06cc-\u0632\u0645\u0627\u0646\u06cc - 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