caa a22 4500 445294965 CHVBK 20180317142539.0 cr unu---uuuuu 170323e20101201xx s 000 0 eng 10.1007/s11571-010-9110-4 doi (NATIONALLICENCE)springer-10.1007/s11571-010-9110-4 Lo James Department of Mathematics and Statistics, University of Maryland Baltimore County, 21250, Baltimore, MD, USA aut Functional model of biological neural networks [Elektronische Daten] [James Lo] A functional model of biological neural networks, called temporal hierarchical probabilistic associative memory (THPAM), is proposed in this paper. THPAM comprises functional models of dendritic trees for encoding inputs to neurons, a first type of neuron for generating spike trains, a second type of neuron for generating graded signals to modulate neurons of the first type, supervised and unsupervised Hebbian learning mechanisms for easy learning and retrieving, an arrangement of dendritic trees for maximizing generalization, hardwiring for rotation-translation-scaling invariance, and feedback connections with different delay durations for neurons to make full use of present and past informations generated by neurons in the same and higher layers. These functional models and their processing operations have many functions of biological neural networks that have not been achieved by other models in the open literature and provide logically coherent answers to many long-standing neuroscientific questions. However, biological justifications of these functional models and their processing operations are required for THPAM to qualify as a macroscopic model (or low-order approximate) of biological neural networks. Springer Science+Business Media B.V., 2010 Neuron model nationallicence Hebb learning nationallicence Spike train nationallicence Unsupervised learning nationallicence Dendritic tree model nationallicence ECM : Expanded correlation matrix nationallicence FSI : Feature subvector index nationallicence GECM : General expanded correlation matrix nationallicence GOE : General orthogonal expansion nationallicence NXOR : Not-exclusive-or nationallicence OE : Orthogonal expansion nationallicence PU : Processing unit nationallicence PU( n ) : Processing unit on feature subvector index n nationallicence RTS : Rotation, translation and scaling nationallicence SPD : Subjective probability distribution nationallicence THPAM : Temporal hierarchical probabilistic associative memory nationallicence XOR : Exclusive-or nationallicence Cognitive Neurodynamics Springer Netherlands 4/4(2010-12-01), 295-313 1871-4080 4:4<295 2010 4 11571 https://doi.org/10.1007/s11571-010-9110-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11571-010-9110-4 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Lo James Department of Mathematics and Statistics, University of Maryland Baltimore County, 21250, Baltimore, MD, USA aut NATIONALLICENCE 773 0- Cognitive Neurodynamics Springer Netherlands 4/4(2010-12-01), 295-313 1871-4080 4:4<295 2010 4 11571 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer