Thesis etd-11132018-234541 |
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Thesis type
Tesi di laurea magistrale
URN
etd-11132018-234541
Thesis title
Modeling vestibular afferents for neuromorphic sensing and eye movement control
Department
INFORMATICA
Course of study
INFORMATICA
Supervisors
.
relatore Prof.ssa Laschi, Cecilia
relatore Dott. Vannucci, Lorenzo
relatore Dott. Falotico, Egidio
controrelatore Dott. Mazzei, Daniele
relatore Dott. Vannucci, Lorenzo
relatore Dott. Falotico, Egidio
controrelatore Dott. Mazzei, Daniele
Keywords
- biorobotics
- gaze stabilization
- neurorobotic platform
- spiking neural network
- vor
Graduation session start date
30/11/2018
Availability
Withheld
Release date
30/11/2088
Abstract (Inglese)
Abstract (Italiano)
Two biologically accurate vestibular afferent models (for humans and mice) have been implemented as neuromorphic inertial sensors. The models were then integrated in realistic circuitry of the vestibulo-ocular reflex (VOR), implemented through spiking neural networks. The effectiveness of the VOR in compensating for external disturbances was tested in closed-loop with a humanoid robot and a mouse model, in a simulated environment.
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