Michele Giugliano Lab

Research focus

​​My research activities are related to the field of Neuroengineering, where understanding, repairing, replacing, enhancing, or exploiting the electrical properties of mammalian neural systems are central ultimate goals.
My interests are particularly focused on the cellular mechanisms underlying the emergence of coordinated electrical activity in cortical microcircuits and large neuronal populations. I ultimately aim at bridging the many missing links between synaptic and single-cell properties and the dynamical phenomena emerging at higher levels of organization.
These in vitro experimental activities are supported by biophysical mathematical modeling studies and computer-simulations, involving quantitative description of single-cells and networks of spiking neurons. I also explore the combination of non-conventional stimulating/recording tools and nanomaterials (e.g. multi-electrode substrate arrays - MEAs) with traditional patch-clamp recording techniques. I am also exploring the use of optogenetics tools for network mapping and neuronal microcircuit reprogramming.

As a visiting scientist at NERF, I will work in vivo studying i) how single neurons and large populations interact, ii) to what extent the firing of single cells affects the neuronal network embedding them, and iii) by  which means network activity can be steered by closed-loop control strategies.


Pyramidal neurons derived from human pluripotent stem cells integrate efficiently into mouse brain circuits in vivoEspuny-Camacho I, Michelsen K, Gall D, Linaro D, Hasche A, Bonnefont J, Bali C, Orduz D, Bilheu A, Herpoel A, Lambert N, Gaspard N, Peron S, Schiffmann S, Giugliano M, Gaillard A, Vanderhaeghen PNEURON, 77, 440-56, 2013
Hyperconnectivity and slow synapses during early development of medial prefrontal cortex in a mouse model for mental retardation and autismTesta-Silva G, Loebel A, Giugliano M, De Kock C, Mansvelder H, Meredith RCEREBRAL CORTEX, 22, 1333-42, 2012
Chloride ions in the pore of glycine and GABA channels shape the time course and voltage dependence of agonist currentsMoroni M, Biro I, Giugliano M, Vijayan R, Biggin P, Beato M, Sivilotti LJOURNAL OF NEUROSCIENCE, 31, 14095-106, 2011
Accurate and fast simulation of channel noise in conductance-based model neurons by diffusion approximationLinaro D, Storace M, Giugliano MPLoS Computational Biology, 7, e1001102, 2011

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