Our work comparing the I/O complexity of different neurons is published in PNAS! We know human neurons are larger than rat neurons, but are they more functionally complex? pnas.org/doi/10.1073/pnas.25… With @danielayoeli @DavidBeniaguev Chris de Kock, @mikilon & @Segev_Lab. (1/13)

What makes human pyramidal neurons uniquely suited for complex information processing? How can human neurons’ distinct properties contribute to our advanced cognitive abilities?

Human cortical pyramidal neurons are larger, exhibit more complex branching patterns, and feature distinctly nonlinear biophysical properties compared to rat cortical pyramidal neurons. Do these unique characteristics make human neurons more functionally complex? Would that enhance the capability of the human brain to perform complex computational tasks? Is this what makes us human? In our new preprint (see below) with @danielayoeli, @DavidBeniaguev, Christiaan de Kock, @mikilon, and @Segev_Lab we use deep learning to tackle these questions by comparing the complexity of neurons’ input-output (I/O) functions using our newly developed Functional Complexity Index (FCI) tool. (1/10)