Editing Bio-inspired computing (section)

==== Unclear Brain mechanism cognition ====
The human brain is a product of evolution. Although its structure and information processing mechanism are constantly optimized, compromises in the evolution process are inevitable. The cranial nervous system is a multi-scale structure. There are still several important problems in the mechanism of information processing at each scale, such as the fine connection structure of neuron scales and the mechanism of brain-scale feedback. Therefore, even a comprehensive calculation of the number of neurons and synapses is only 1/1000 of the size of the human brain, and it is still very difficult to study at the current level of scientific research.<ref>Markram Henry, Muller Eilif, Ramaswamy Srikanth [https://www.sciencedirect.com/science/article/pii/S0092867415011915 Reconstruction and simulation of neocortical microcircuitry] [J].Cell, 2015, Vol.163 (2), pp.456-92PubMed</ref>
Recent advances in brain simulation linked individual variability in human cognitive [[Mental chronometry|processing speed]] and [[Fluid and crystallized intelligence|fluid intelligence]] to the [[Homeostasis#Neurotransmission|balance of excitation and inhibition]] in [[Connectome|structural brain networks]], [[Resting state fMRI#Functional|functional connectivity]], [[Winner-take-all (computing)|winner-take-all decision-making]] and [[Dynamical neuroscience#Attractor network|attractor]] [[working memory]].<ref>{{Cite journal |last1=Schirner |first1=Michael |last2=Deco |first2=Gustavo |last3=Ritter |first3=Petra |date=2023 |title=Learning how network structure shapes decision-making for bio-inspired computing |journal=Nature Communications |volume=14 |issue=2963 |page=2963 |doi=10.1038/s41467-023-38626-y|pmid=37221168 |pmc=10206104 |bibcode=2023NatCo..14.2963S }}</ref>