Ido Aizenbud

The paper demonstrates that detailed models of rat pyramidal neurons can perform complex computational tasks using a novel algorithm, highlighting dendritic nonlinearities as key to high-order feature binding.

The paper describes a massively collaborative project using spiking neural networks to study sound localization, involving 31 researchers across multiple countries.

The paper introduces the Functional Complexity Index (FCI) to quantify neuronal functional complexity and finds human cortical pyramidal neurons are more complex than rat neurons due to morpho-electrical differences.