Full Professor

ED is Full Professor of Physiology, co-chair of the Department of Brain and
Behavioral Sciences and director of the Digital Neuroscience Center of IRCCS Mondino. He coordinates brain research
at the international level, spanning from neurophysiology to neurotechnology and medicine, and has uninterruptedly
coordinated several European and National projects over the 1995-2025 period. ED published more than 250 peer
reviewed papers (most as first or last author) including Nature, Science, Nature Neuroscience, Nature Communication,
Nature Communications Biology, Cell, Neuron, TINS, J Neuroscience and presented his research at several meetings
worldwide, often as invited speaker (recently UCL, CERN, Rimini, CAETS Versaille). ED has a long-standing track in
the development and application of experimental and computational techniques, including patch-clamp recordings in
brain slices (Nature, 1990), single neuron and microcircuit modelling (J. Neuroscience, 2001), advanced two-photon
imaging with spatial light modulators (Frontiers in Cellular Neuroscience, 2014), closed-loop simulations using spiking
cerebellar networks embedded into robotic controllers and neuromorphic hardware (PLOS, 2015), microcircuit
simulators (DeShepper et al., 2021). ED contributed to understand neuronal computation and plasticity in the brain
focusing on the cerebellar circuit. He first revealed the importance of NMDA receptors in synaptic transmission
(Nature, 1990; Cell, 2006), generating a new framework for distributed synaptic plasticity in the cerebellum (Nature
Neurosci. 2001; TINS 2009). On a parallel line, ED has pioneered single neuron and microcircuit modelling (J.
Neuroscience, 2001) and has combined it to experimental analysis of action potential generation (Nature Comm Biol.
2016, 2020a, 2020b; DeSchepper et al., 2021) and Na channel activation in mouse mutants (Neuron, 2006). Recently
ED used MRI and connectomics to determine cerebellar involvement in cognitive and sensorimotor control and brain
pathologies (Sci. Rep, 2017; Science, 2019; TINS, 2022, NatCommsBiol, 2025). ED is pioneering the application of
spiking cerebellar networks to closed-loop robotic controllers (PLOS, 2015; NeuralNetworks, 2025), neuromorphic
hardware and virtual brains (Frontiers, 2020a; 2020 b; 2020c).