Prof. LINARO DANIELE
Ricercatore
Area di ricerca:
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Daniele Linaro received his MSc in Electronic Engineering from the University of Genoa (Italy) in 2007 and a PhD in Electrical Engineering from the same university in 2011. In the same year, he was awarded a fellowship from the Flemish Research Foundation - FWO to conduct postdoctoral work in the Laboratory of Theoretical Neurobiology and Neuroengineering at the University of Antwerp, under the supervision of Prof. Michele Giugliano, where he used dynamic-clamp to elucidate the computational capabilities of different cell types in the rodent cortex. In 2015 he moved to the Laboratory of Cortical Development at VIB (Leuven, Belgium), under the supervision of Prof. Pierre Vanderhaeghen, where he studied the protracted electrophysiological and morphological development of human cortical neurons grafted in the rodent cortex.
Since 2014, he holds a position as Visiting Scientist at Janelia Research Campus in collaboration with the laboratory of Dr. Nelson Spruston, where he investigates the network properties of different cell types in the rodent hippocampus.
Since 2018, he is Assistant Professor in the Department of Electronics, Information Technology and Bioengineering at the Polytechnic of Milan.
His main research interests are currently in the area of circuit theory and nonlinear dynamical systems, with applications to electronic oscillators and power systems and computational neuroscience, in particular biophysically-realistic single-cell models of neuronal cells.
Since 2014, he holds a position as Visiting Scientist at Janelia Research Campus in collaboration with the laboratory of Dr. Nelson Spruston, where he investigates the network properties of different cell types in the rodent hippocampus.
Since 2018, he is Assistant Professor in the Department of Electronics, Information Technology and Bioengineering at the Polytechnic of Milan.
His main research interests are currently in the area of circuit theory and nonlinear dynamical systems, with applications to electronic oscillators and power systems and computational neuroscience, in particular biophysically-realistic single-cell models of neuronal cells.