Binding Problem Simulator with Temporal Coding Using the Morphoelectrotonic Transform Theory

Abstract

It is believed that attributes of objects, such as colors or shapes, are expressed with time series of neuron spikes in the brain. We do not have, however, any answer to the following question “what are the neuron dynamics working at the processes and how is it able to express the processes?”. To solve this problem, we need to study the neural coding mechanism where necessary information is expressed by the spike sequences.
In this research, we propose a neural coding method which uses the morphoelectorotonic transform theory to formalize the cell assembly. Then, a simulation model to solve the binding problem is constructed by using this coding model and its effectiveness is verified.