This paper is concerning. While divorced from the standard ML literature there is a lot of work on biologically plausible spiking, timing dependant artificial neutral networks. The nomenclature here doesn't seem to acknowledge that body of work. Instead it appears as a step toward that bulk of research coming from the ML/LLM field without a clear appreciation of the ground well traveled there.*
In addition some of the terminology is likely to cause confusion. By calling a synaptic integration step "thinking" the authors are going to confuse a lot of people. Instead of the process of forming an idea, evaluating that idea, potentially modifying it and repeating (what a layman would call thinking) they are trying to ascribe "thinking" to single unit processes! That's a pretty radical departure from both ML and ANN literature. Pattern recognition/signal discrimination is well known at the level of synaptic integration and firing, but "thinking?" No, that wording is not helpful.
*I have not reviewed all the citations and am reacting to the plain language of the text as someone familiar with both lines of research.
In addition some of the terminology is likely to cause confusion. By calling a synaptic integration step "thinking" the authors are going to confuse a lot of people. Instead of the process of forming an idea, evaluating that idea, potentially modifying it and repeating (what a layman would call thinking) they are trying to ascribe "thinking" to single unit processes! That's a pretty radical departure from both ML and ANN literature. Pattern recognition/signal discrimination is well known at the level of synaptic integration and firing, but "thinking?" No, that wording is not helpful.
*I have not reviewed all the citations and am reacting to the plain language of the text as someone familiar with both lines of research.