AUTHOR=Shibata Takashi , Hattori Noriaki , Nishijo Hisao , Takahashi Tsutomu , Higuchi Yuko , Kuroda Satoshi , Takakusaki Kaoru TITLE=Evolutionary origins of synchronization for integrating information in neurons JOURNAL=Frontiers in Cellular Neuroscience VOLUME=Volume 18 - 2024 YEAR=2025 URL=https://www.frontiersin.org/journals/cellular-neuroscience/articles/10.3389/fncel.2024.1525816 DOI=10.3389/fncel.2024.1525816 ISSN=1662-5102 ABSTRACT=The evolution of brain-expressed genes is notably slower than that of genes expressed in other tissues, a phenomenon likely due to high-level functional constraints. One such constraint might be the integration of information by neuron assemblies, enhancing environmental adaptability. This study explores the physiological mechanisms of information integration in neurons through three types of synchronization: chemical, electromagnetic, and quantum. Chemical synchronization involves the diffuse release of neurotransmitters like dopamine and acetylcholine, causing transmission delays of several milliseconds. Electromagnetic synchronization encompasses action potentials, electrical gap junctions, and ephaptic coupling. Electrical gap junctions enable rapid synchronization within cortical GABAergic networks, while ephaptic coupling allows structures like axon bundles to synchronize through extracellular electromagnetic fields, surpassing the speed of chemical processes. Quantum synchronization is hypothesized to involve ion coherence during ion channel passage and the entanglement of photons within the myelin sheath. Unlike the finite-time synchronization seen in chemical and electromagnetic processes, quantum entanglement provides instantaneous non-local coherence states. Neurons might have evolved from slower chemical diffusion to rapid temporal synchronization, with ion passage through gap junctions within cortical GABAergic networks potentially facilitating both fast gamma band synchronization and quantum coherence. This mini-review compiles literature on these three synchronization types, offering new insights into the physiological mechanisms that address the binding problem in neuron assemblies.