Computational capacity of pyramidal neurons in the cerebral cortex
Danko D. Georgiev, Stefan K. Kolev, Eliahu Cohen, James F. Glazebrook

TL;DR
This paper analyzes the structural complexity of pyramidal neurons across species and regions, linking their morphology to highly efficient, thermodynamically optimal neural computation capable of over 1.2 zetta operations per second.
Contribution
It provides a detailed morphometric analysis of pyramidal neurons and links their structure to the thermodynamic limits of neural computation, proposing a physical basis for brain efficiency.
Findings
Neuronal morphometry varies across species and brain regions.
Cerebral computation operates near the thermodynamic Landauer limit.
The human cortex can perform over 1.2 zetta logical operations per second.
Abstract
The electric activities of cortical pyramidal neurons are supported by structurally stable, morphologically complex axo-dendritic trees. Anatomical differences between axons and dendrites in regard to their length or caliber reflect the underlying functional specializations, for input or output of neural information, respectively. For a proper assessment of the computational capacity of pyramidal neurons, we have analyzed an extensive dataset of three-dimensional digital reconstructions from the NeuroMorpho.Org database, and quantified basic dendritic or axonal morphometric measures in different regions and layers of the mouse, rat or human cerebral cortex. Physical estimates of the total number and type of ions involved in neuronal electric spiking based on the obtained morphometric data, combined with energetics of neurotransmitter release and signaling fueled by glucose consumed by…
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