The concept of time-delayed neural signalling is biologically plausible[7]. By constructing neural circuits based on time-delayed neural signalling, any type of stimulus can be encoded as a scalar to a "standard" circuit, in such a way that it is possible to deduce intensity, detect change and detect patterns in the incoming stimulus. Some innate connections are incorporated for initial survival. Further learning-by-association is enabled by setting criteria for formation, strengthening and weakening of neural connections. The approach described in this paper has the potential to explain other empirical phenomena related to the human brain.
In a neural circuit based system, both data and action-initiation could be encoded in the connectome of the neural network. The neural circuits and other methods described in this paper could be leveraged for use in software applications related to encryption, cybersecurity, and various other use-cases. Software designed based on such neural circuits will be able to determine context, determine the importance of the current ongoing action in the environment and trigger motor actions accordingly. For example, if virtual “pain” is associated with an undesirable action, (eg: detection of unauthorized edit to a database) , a motor action (eg: email alert) can be triggered.
By providing positive or negative reinforcements , more behaviours can be taught to such a system purely by interacting with it. It should be noted that such systems based on Neural circuits are not good at “brute force” remembering (eg: like recalling a long text sequence); however such neural circuits would excel at integrating sensory information, taking prompt action based on context and then adjusting behaviour based on feedback.
Further work is needed on the following topics: