Wang, HuachuanTing-Ho Lo, James2021-01-202021-01-202020-12-12Wang, Huachuan; Ting-Ho Lo, James; Low-Order Model of Biological Neural Networks; Optimization and Control (2020); https://arxiv.org/abs/2012.06720http://hdl.handle.net/11603/20560A biologically plausible low-order model (LOM) of biological neural networks is a recurrent hierarchical network of dendritic nodes/trees, spiking/nonspiking neurons, unsupervised/ supervised covariance/accumulative learning mechanisms, feedback connections, and a scheme for maximal generalization. These component models are motivated and necessitated by making LOM learn and retrieve easily without differentiation, optimization, or iteration, and cluster, detect and recognize multiple/hierarchical corrupted, distorted, and occluded temporal and spatial patterns.7 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/Text