Biophysical and computational insights from modeling human cortical pyramidal neurons

Biophysical and computational insights from modeling human cortical pyramidal neurons

The human brain’s remarkable computational power enables parallel processing of vast information, integrating sensory inputs, memories, and emotions for rapid learning, adaptability, and creativity – far surpassing present-day artificial systems. These capabilities likely arise, in part, from the di...

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Bibliographic Details
Main Authors: Sapir Shapira, Ido Aizenbud, Daniela Yoeli, Yoni Leibner, Huibert D. Mansvelder, Christiaan P. J. de Kock, Michael London, Idan Segev
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Neuroscience
Subjects:
human neurons
pyramidal neurons
dendritic computation
compartmental modeling
biophysical modeling
machine learning models
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2025.1579715/full
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https://www.frontiersin.org/articles/10.3389/fnins.2025.1579715/full

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