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Human-specific fast synaptic kinetics enable rapid detection of predictive features

Created on 06 Nov 2025

Authors

Obi-Nagata, K., Suzuki, N., Kosugi, K., Ozawa, K., Sasaguri, H., Niimi, K., Miyamoto, K., Takao, M., Toda, M., Asabuki, T., Hayashi-Takagi, A.

Abstract

Humans can discern the underlying principles in complex environments, but the cellular basis of this ability is unclear. By comparing layer 2/3 cortical pyramidal neurons in five mammals (mouse, rat, marmoset, macaque and human), we found that human neurons exhibited distinctively faster kinetics of excitatory synaptic transmissions. In a computational model, neurons with human-type synapses detected hidden patterns more quickly in noise, and this superiority was only evident in unsupervised learning. Tracking synaptic weights revealed that human synapses were potentiated sharply and persistently by the patterns, while macaque-type synapses were broadly potentiated, which were easily eroded. These data suggest that the human-specific acceleration of synaptic kinetics enables the rapid extraction of latent structures in complex environments, providing a cellular basis for our efficient cognitive abilities.

Preprint server: bioRxiv
The authors list and abstract were imported from bioRxiv on 06 Nov 2025.

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