TY - GEN N2 - The three-volume set LNCS 13623, 13624, and 13625 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 2226, 2022. The 146 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements. DO - 10.1007/978-3-031-30111-7 DO - doi AB - The three-volume set LNCS 13623, 13624, and 13625 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 2226, 2022. The 146 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements. T1 - Neural information processing :29th International Conference, ICONIP 2022, virtual event, November 22-26, 2022, proceedings. AU - Tanveer, Mohammad, AU - Agarwal, Sonali, AU - Ozawa, Seiichi, AU - Ekbal, Asif, AU - Jatowt, Adam, VL - 13625 CN - QA76.87 N1 - Includes author index. ID - 1463306 KW - Neural computers KW - Neural networks (Computer science) SN - 9783031301117 SN - 3031301110 TI - Neural information processing :29th International Conference, ICONIP 2022, virtual event, November 22-26, 2022, proceedings. LK - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-30111-7 UR - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-30111-7 ER -