New artificial neural net models: basic theory and characteristics

Models for feedback artificial neural nets (ANNs) which are shown to have qualitatively the same dynamic properties as gradient continuous-time feedback neural nets are presented. These models are based on biological neural nets where neurons have dendrodendritic connections i.e. where connections among neurons occur via dendrites only. These models have the maximum number of connections equal to n (n+1)/2, where n is the number of neurons. The synaptic weights are naturally symmetric. One model uses nonlinear weights are naturally symmetric. One model uses nonlinear floating MOSFET transistors for its dendritic connection, where its conductance is controlled via the gate voltage. This last model lends itself naturally to analog all-MOS VLSI implementation