Maurizio Pezzoli

The paper investigates how human neuronal morphology influences synaptic connectivity complexity and shows that human neuron shapes lead to more complex connectomes compared to rodents.

This study builds a detailed computational model of the human neocortex and compares it to a rat model, revealing differences in cell density, branching complexity, and synaptic connectivity.

The paper investigates how synaptic connectivity between engram cells in the hippocampus and amygdala stores information and supports memory function through PSD-95 mediated plasticity.

The paper compares dendritic architecture in human and mice neuronal networks, finding that human pyramidal cells have greater dendritic complexity, contributing to increased network complexity despite lower neuron density.

This paper demonstrates a theoretical model using spin-half particles on a topological network to generate brain-like signals and store memory, addressing unresolved theoretical problems in neuroscience.