Papers
71
Total Citations
1,897
H-Index
26
About
Alessandra Pedrocchi is a pioneering biomedical engineer whose research sits at the intersection of neuroscience, rehabilitation robotics, and computational neuroscience. Based at Politecnico di Milano, her work spans three interconnected domains: neural modeling of cerebellar circuits, brain-computer interfaces, and robotic assistive technologies for motor rehabilitation. Pedrocchi has made substantial contributions to understanding how the cerebellum mediates motor learning, developing biologically realistic spiking neural network models that have been successfully embedded in real robotic systems — work that has collectively garnered over 300 citations. Her 2014 and 2015 studies on cerebellar plasticity demonstrated how distributed learning mechanisms can drive adaptive robotic control, bridging computational neuroscience and engineering in a clinically meaningful way. Her more recent work has shaped the field of rehabilitation robotics, with highly cited systematic reviews and control strategy analyses — including papers on soft exosuits and patient-cooperative exoskeletons — influencing how researchers design human-centered assistive devices. Her 2020 overview of neurotechnologies for motor restoration (135 citations) underscores her role as a synthesizer of the field. Through EMG-based intention decoding and EEG analysis of motor engagement, Pedrocchi continues advancing personalized, neurologically informed rehabilitation solutions.
Research Focus
Key Achievements
Top Papers
- 1Advanced Neurotechnologies for the Restoration of Motor Function135 citations · 2020
- 2Upper limb soft robotic wearable devices: a systematic review131 citations · 2022
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- 5Adaptive Robotic Control Driven by a Versatile Spiking Cerebellar Network77 citations · 2014
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- 8Realistic modeling of neurons and networks: towards brain simulation.64 citations · 2014
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