TY - GEN N2 - The four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 2226, 2022. The 213 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 - 10.1007/978-981-99-1639-9 DO - doi AB - The four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 2226, 2022. The 213 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 - 1791 CN - QA76.87 N1 - Includes author index. ID - 1463318 KW - Neural computers KW - Neural networks (Computer science) SN - 9789819916399 SN - 9819916399 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/10.1007/978-981-99-1639-9 UR - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-1639-9 ER -