Computational Techniques in Neuroscience
暫譯: 神經科學中的計算技術

這段文字討論了深度學習和機器學習在神經科學領域的技術，工程方法用於研究大腦結構和動態，卷積網絡用於快速且節能的神經形態計算，以及在反饋控制中的強化學習。它展示了神經數據分析的案例研究。

Dr. Kamal Malik is currently working as a Professor in CSE in the School of Engineering and Technology at CTU Ludhiana, Punjab, India. She has published Scientific Research Publications in reputed International Journals, including SCI and Scopus indexed Journals such as Adhoc and senior Wireless Networks, 50, Engineering, Technology and Applied Sciences Research, Journals of Advanced Research in Engineering, Research Journal of Applied Sciences of Engineering & Technology(RJASET- Maxwell Sciences), SSRN-Electronic Journal, Design Engineering, Indian Journal of Science and Technology(IJST), International Journal of Computer Applications(IJCA), and many more. She has also attended many National and International Conferences of repute like Springer, and Elsevier in India. Her major research areas are Artificial Intelligence, Machine Learning and Deep Learning, Data Analytics, Computational Neurosciences, and bio-inspired computing. She has more than 13 years of rich Academic and Research experience. She has guided 3 research scholars and currently guiding 8 research Scholars at CT University, Ludhiana. She has worked in renowned Institutes and Universities like RIMT Mandigobindgarh, Maharishi Markandeshwar University, Mullana, GNA University, Phagwara. She has also chaired various sessions in Springer and Elsevier. She has also been awarded with the preeminent researcher award from Green Thinkerz society at CII, Chandigarh. She has completed her Doctorate of Philosophy in Computer Science from IKGPTU Kapurthala in 2017, her Masters and Graduation from Kurukshetra University, Kurukshetra in 2009 and 2006 respectively.

Dr. Harsh Sadawarti is currently working as Vice Chancellor of CT University and Professor of Computer Science and Engineering in School of Engineering and Technology at CTU Ludhiana, Punjab India. He has published Scientific research Publications in reputed International Journals including SCI indexed and Scopus indexed Journals such as Journal of Intelligent and Fuzzy Systems, Journal of Applied Sciences, International Journal of Scientific and Technology research(IJSTR), International Journal of Advanced Research in Engineering and Technology(IJARET), International Journal of light and electron optics(Optik Elesevier Journal). International Journal of Computer Science and Communication Engineering(IJCSCE), International Journal of Advanced Research in Computer science and Software Engineering, Maxwell's Sciences and many more. Apart from it, he has attended many National, International Conferences and IEEE conferences of repute like Springer, Elsevier in India as well as abroad. He has visited more than 20 countries in his academic career for presenting his scientific research. His major areas of Research are Machine Learning, Artificial Intelligence, Deep learning, Parallel processing, Computational Neurosciences, Bio-inspired Computing, Security in cloud computing. He is having more than 28 years of Teaching, Academic and Research experience in various reputed Engineering Institutions named as RIMT Mandigobindgarh, Baba Banda Singh Bahadur Institute of Engg and Technology. He has also chaired various International Conferences of Springer, Elsevier. He has guided 12 Ph.D Schorals and currently guiding 8 Research Scholars. He has also been awarded as a Punjab Ratan (Punjab State Intellectuals honor) by All India Conference of Intellectuals at India International Centre New Delhi on 26th of December, 2010. He is also an eminent reviewer of many reputed Journals like Elsevier, Springer etc, . He has also been awarded as the best Young Vice Chancellor award from IARE i.e, . (International Academic and Research Excellence Awards). He has done his Doctor of Philosophy (Ph.D.) in Computer Science and Engineering and M.Tech (CSE) from Thapar University and his B.Tech(CSE) from Nagpur University in year 1999.

Mr. Moolchand Sharma is currently an Assistant Professor in the Department of Computer Science and Engineering at the Maharaja Agrasen Institute of Technology, GGSIPU Delhi. He has published scientific research publications in reputed international journals and conferences, including SCI-indexed and Scopus-indexed journals such as Expert Systems (Wiley), Cognitive Systems Research (Elsevier), Physical Communication(Elsevier), Journal of Electronic Imaging (SPIE ), Intelligent Decision Technologies: An International Journal, Cyber-Physical Systems (Taylor & Francis Group), International Journal of Image & Graphics (World Scientific), International Journal of Innovative Computing and Applications (Inderscience) and Innovative Computing and Communication Journal (Scientific Peer-reviewed Journal). He has authored/co-authored chapters with International publishers like Elsevier, Wiley, and De Gruyter. He has authored/edited four books with a National/International level publisher (CRC Press, Bhavya publications). His research areas include Artificial Intelligence, Nature-Inspired Computing, Security in Cloud Computing, Machine Learning, and Search Engine Optimization. He is associated with various professional bodies like IEEE, ISTE, IAENG, ICSES, UACEE, Internet Society, and life membership of the Universal Inovators research lab, etc. He possesses teaching experience more than nine years. He is the co-convener of the ICICC, DOSCI, ICDAM & ICCCN springer Scopus Indexed conference series and ICCRDA-2020 Scopus Indexed IOP Material Science & Engineering conference series. He is also the organizer and co-convener of the International Conference on Innovations and Ideas towards Patents (ICIIP) series. He is also the advisory and TPC committee member of the ICCIDS-2022 Elsevier SSRN Conference. He is also the reviewer of many reputed journals like Springer, Elsevier, IEEE, Wiley, Taylor & Francis Group, IJEECS and World Scientific Journal, and many springer conferences. He is also served as a session chair in many international springer conferences. He is a doctoral researcher at DCR University of Science & Technology, Haryana. He completed his Post Graduation in 2012 from SRM UNIVERSITY, NCR CAMPUS, GHAZIABAD, and Graduated in 2010 from KNGD MODI ENGG. COLLEGE, GBTU.

Dr. Umesh Gupta is currently an Assistant Professor at the School of Computer Science Engineering and Technology at Bennett University, Times of India Group, Greater Noida, Uttar Pradesh, India. He received a Doctor of Philosophy (Ph.D.) (Machine Learning) from the National Institute of Technology, Arunachal Pradesh, India. He has awarded a gold medalist for his Master of Engineering (M.E.) from the National Institute of Technical Teachers Training and Research (NITTTR), Chandigarh, India, and Bachelor of Technology (B.Tech.) from Dr. APJ, Abdul Kalam Technical University, Lucknow, India. His research interests include SVM, ELM, RVFL, machine learning, and deep learning approaches. He has published over 35 referred journal and conference papers of international repute. His scientific research has been published in reputable international journals and conferences, including SCI-indexed and Scopus-indexed journals like Applied soft computing (Elsevier) and Applied Intelligence (Springer), each of which is a peer-reviewed journal. His publications have more than 158 citations with an h-index of 8 and an i10-index of 8 on Google Scholar as of March 1, 2023. He is a senior Member of IEEE (SMIEEE) and an active member of ACM, CSTA, and other scientific societies. He also reviewed papers for many scientific journals and conferences in the US and abroad. He led sessions at the 6th International conference (ICICC-2023), 3rd International Conference on Data Analytics and Management (ICDAM 2023), the 3rd International Conference on Computing and Communication Networks (ICCCN 2022), and other international conferences like Springer ETTIS 2022 and 2023. He is currently supervising two Ph.D. students. He is the co-principal investigator (co-PI) of TWO major research projects. He published three patents in the years 2021-2023. He also published four book chapters with Springer, CRC.

Dr. Prayag Tiwari received his Ph.D. degree from the University of Padova, Italy. He is currently working as a Postdoctoral Researcher at Aalto University. Previously, he worked as a Marie Curie Researcher at the University of Padova, Italy. He also worked as a research assistant at the NUST ``MISiS", Moscow, Russia. He has several publications in top journals and conferences, including Neural Networks, Information Fusion, IPM, IJCV, IEEE TNNLS, IEEE TFS, IEEE TII, IEEE JBHI, IEEE IOTJ, IEEE BIBM, ACM TOIT, CIKM, SIGIR, AAAI, etc. His research interests include Machine Learning, Deep Learning, Quantum Machine Learning, Information Retrieval, Healthcare, and IoT. He is also associated with one Funded-based project named "Data Literacy for Responsible Decision-Making" Short title (STN LITERACY/Marttinen). He is also the reviewer of many reputed journals like Springer, Elsevier, IEEE, Wiley, Taylor & Francis Group, IJEECS and World Scientific Journal, and many springer conferences.

**Dr. Kamal Malik** 目前在印度旁遮普邦的 CTU Ludhiana 工程與技術學院擔任計算機科學與工程系教授。她在多個知名國際期刊上發表了科學研究論文，包括 SCI 和 Scopus 索引的期刊，如 Adhoc 和 Senior Wireless Networks、Engineering, Technology and Applied Sciences Research、Journals of Advanced Research in Engineering、Research Journal of Applied Sciences of Engineering & Technology (RJASET- Maxwell Sciences)、SSRN-Electronic Journal、Design Engineering、Indian Journal of Science and Technology (IJST)、International Journal of Computer Applications (IJCA) 等。她還參加了許多知名的國內和國際會議，如印度的 Springer 和 Elsevier。她的主要研究領域包括人工智慧、機器學習和深度學習、數據分析、計算神經科學以及生物啟發計算。她擁有超過 13 年的豐富學術和研究經驗，曾指導 3 位研究學者，目前在 CT University, Ludhiana 指導 8 位研究學者。她曾在 RIMT Mandigobindgarh、Maharishi Markandeshwar University、Mullana、GNA University、Phagwara 等知名機構和大學工作。她還在 Springer 和 Elsevier 的各種會議中擔任過主席。她曾獲得來自 CII, Chandigarh 的 Green Thinkerz 社會頒發的傑出研究者獎。她於 2017 年在 IKGPTU Kapurthala 獲得計算機科學博士學位，並於 2009 年和 2006 年分別在 Kurukshetra University 獲得碩士和學士學位。

**Dr. Harsh Sadawarti** 目前擔任 CT University 副校長及旁遮普邦 CTU Ludhiana 工程與技術學院的計算機科學與工程教授。他在多個知名國際期刊上發表了科學研究論文，包括 SCI 和 Scopus 索引的期刊，如 Journal of Intelligent and Fuzzy Systems、Journal of Applied Sciences、International Journal of Scientific and Technology Research (IJSTR)、International Journal of Advanced Research in Engineering and Technology (IJARET)、International Journal of Light and Electron Optics (Optik Elsevier Journal)、International Journal of Computer Science and Communication Engineering (IJCSCE)、International Journal of Advanced Research in Computer Science and Software Engineering、Maxwell's Sciences 等。此外，他還參加了許多國內和國際會議及 IEEE 會議，如印度及國外的 Springer 和 Elsevier。他在學術生涯中訪問了超過 20 個國家以發表他的科學研究。他的主要研究領域包括機器學習、人工智慧、深度學習、並行處理、計算神經科學、生物啟發計算以及雲計算安全。他在多個知名工程機構擁有超過 28 年的教學、學術和研究經驗，如 RIMT Mandigobindgarh、Baba Banda Singh Bahadur Institute of Engineering and Technology。他還在 Springer 和 Elsevier 的各種國際會議中擔任過主席。他已指導 12 位博士生，並目前指導 8 位研究學者。他於 2010 年 12 月 26 日在新德里印度國際中心獲得全印度知識分子會議頒發的 Punjab Ratan（旁遮普州知識分子榮譽）。他也是多個知名期刊的資深審稿人，如 Elsevier、Springer 等。他還獲得了 IARE 的最佳青年副校長獎（國際學術與研究卓越獎）。他於 1999 年在 Thapar University 獲得計算機科學與工程博士學位 (Ph.D.) 和 M.Tech (CSE)，並在 Nagpur University 獲得 B.Tech (CSE)。

**Mr. Moolchand Sharma** 目前是 GGSIPU Delhi 的 Maharaja Agrasen Institute of Technology 計算機科學與工程系的助理教授。他在多個知名國際期刊和會議上發表了科學研究論文，包括 SCI 和 Scopus 索引的期刊，如 Expert Systems (Wiley)、Cognitive Systems Research (Elsevier)、Physical Communication (Elsevier)、Journal of Electronic Imaging (SPIE)、Intelligent Decision Technologies: An International Journal、Cyber-Physical Systems (Taylor & Francis Group)、International Journal of Image & Graphics (World Scientific)、International Journal of Innovative Computing and Applications (Inderscience) 和 Innovative Computing and Communication Journal (Scientific Peer-reviewed Journal)。他與 Elsevier、Wiley 和 De Gruyter 等國際出版商共同撰寫/編輯了章節。他與國內/國際出版社（CRC Press、Bhavya Publications）共同編著了四本書。他的研究領域包括人工智慧、自然啟發計算、雲計算安全、機器學習和搜索引擎優化。他與多個專業機構（如 IEEE、ISTE、IAENG、ICSES、UACEE、Internet Society）有關聯，並擁有 Universal Innovators 研究實驗室的終身會員資格等。他擁有超過九年的教學經驗。他是 ICICC、DOSCI、ICDAM 和 ICCCN Springer Scopus 索引會議系列及 ICCRDA-2020 Scopus 索引 IOP 材料科學與工程會議系列的共同召集人。他還是國際專利創新與理念會議（ICIIP）系列的組織者和共同召集人。他是 ICCIDS-2022 Elsevier SSRN 會議的顧問和 TPC 委員會成員。他也是多個知名期刊的審稿人，如 Springer、Elsevier、IEEE、Wiley、Taylor & Francis Group、IJEECS 和 World Scientific Journal，以及多個 Springer 會議。他還在許多國際 Springer 會議中擔任過會議主席。他是 DCR University of Science & Technology, Haryana 的博士研究生。他於 2012 年在 SRM UNIVERSITY, NCR CAMPUS, GHAZIABAD 完成碩士學位，並於 2010 年在 KNGD MODI ENGG. COLLEGE, GBTU 獲得學士學位。

**Dr. Umesh Gupta** 目前是印度大諾伊達 Bennett University, Times of India Group 計算機科學工程與技術學院的助理教授。他在印度阿魯納恰爾邦國立技術學院獲得機器學習的哲學博士學位 (Ph.D.)。他在印度昌迪加爾的國立技術教師培訓與研究所 (NITTTR) 獲得工程碩士 (M.E.) 的金獎，並在印度盧克瑙的 Dr. APJ Abdul Kalam Technical University 獲得技術學士 (B.Tech.) 學位。他的研究興趣包括 SVM、ELM、RVFL、機器學習和深度學習方法。他已發表超過 35 篇國際知名的期刊和會議論文。他的科學研究已發表在多個知名國際期刊和會議上，包括 SCI 和 Scopus 索引的期刊，如 Applied Soft Computing (Elsevier) 和 Applied Intelligence (Springer)，這些都是同行評審的期刊。截至 2023 年 3 月 1 日，他的出版物在 Google Scholar 上擁有超過 158 次引用，h-index 為 8，i10-index 為 8。他是 IEEE 的資深會員 (SMIEEE)，並且是 ACM、CSTA 和其他科學社團的活躍成員。他還為美國及國外的多個科學期刊和會議審稿。他在第六屆國際會議 (ICICC-2023)、第三屆國際數據分析與管理會議 (ICDAM 2023)、第三屆國際計算與通信網絡會議 (ICCCN 2022) 以及其他國際會議（如 Springer ETTIS 2022 和 2023）中主導了會議。他目前正在指導兩位博士生。他是兩個主要研究項目的共同首席研究員 (co-PI)。他在 2021-2023 年間發表了三項專利。他還與 Springer 和 CRC 出版了四個書章。

**Dr. Prayag Tiwari** 獲得了意大利帕多瓦大學的博士學位 (Ph.D.)。他目前在 Aalto University 擔任博士後研究員。此前，他曾在意大利帕多瓦大學擔任 Marie Curie 研究員，並在俄羅斯莫斯科的 NUST "MISiS" 擔任研究助理。他在多個頂級期刊和會議上發表了多篇論文，包括 Neural Networks、Information Fusion、IPM、IJCV、IEEE TNNLS、IEEE TFS、IEEE TII、IEEE JBHI、IEEE IOTJ、IEEE BIBM、ACM TOIT、CIKM、SIGIR、AAAI 等。他的研究興趣包括機器學習、深度學習、量子機器學習、信息檢索、醫療保健和物聯網。他還參與了一個名為「負責任決策的數據素養」的資助項目（短標題 STN LITERACY/Marttinen）。他也是多個知名期刊的審稿人，如 Springer、Elsevier、IEEE、Wiley、Taylor & Francis Group、IJEECS 和 World Scientific Journal，以及多個 Springer 會議。