Alberto Antonietti, Ph.D.
|2013-2019||Department of Electronics, Information and Bioengineering||Politecnico di Milano, Italy|
|2019-2020||Department of Brain and Behavioral Sciences||University of Pavia, Pavia, PV, Italy|
|2020-||Blue Brain Project||Swiss Federal Institute of Technology (EPFL)|
Area:neuroengineering, computational neuroscience, brain simulation, neurorobotics
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|Antonietti A, Martina D, Casellato C, et al. (2020) Corrigendum to "Control of a Humanoid NAO Robot by an Adaptive Bioinspired Cerebellar Module in 3D Motion Tasks". Computational Intelligence and Neuroscience. 2020: 2390349|
|Mathur MB, Reichling DB, Lunardini F, et al. (2020) Uncanny but not confusing: Multisite study of perceptual category confusion in the Uncanny Valley Computers in Human Behavior. 103: 21-30|
|Antonietti A, Orza V, Casellato C, et al. (2019) Implementation of an Advanced Frequency-Based Hebbian Spike Timing Dependent Plasticity. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2019: 3005-3009|
|Antonietti A, Martina D, Casellato C, et al. (2019) Control of a Humanoid NAO Robot by an Adaptive Bioinspired Cerebellar Module in 3D Motion Tasks. Computational Intelligence and Neuroscience. 2019: 4862157|
|Antonietti A, Monaco J, D'Angelo E, et al. (2018) Dynamic Redistribution of Plasticity in a Cerebellar Spiking Neural Network Reproducing An Associative Learning Task Perturbed by TMS. International Journal of Neural Systems. 1850020|
|Geminiani A, Casellato C, Antonietti A, et al. (2017) A Multiple-Plasticity Spiking Neural Network Embedded in a Closed-Loop Control System to Model Cerebellar Pathologies. International Journal of Neural Systems. 1750017|
|Newton AJH, Seidenstein AH, McDougal RA, et al. (2017) 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Bmc Neuroscience. 18|
|Antonietti A, Casellato C, D'Angelo E, et al. (2016) Model-Driven Analysis of Eyeblink Classical Conditioning Reveals the Underlying Structure of Cerebellar Plasticity and Neuronal Activity. Ieee Transactions On Neural Networks and Learning Systems|
|D'Angelo E, Antonietti A, Casali S, et al. (2016) Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue. Frontiers in Cellular Neuroscience. 10: 176|
|Antonietti A, Casellato C, Garrido JA, et al. (2016) Spiking Neural Network With Distributed Plasticity Reproduces Cerebellar Learning in Eye Blink Conditioning Paradigms. Ieee Transactions On Bio-Medical Engineering. 63: 210-9|