The role of afferent input in neuroprosthetic learning
ContributorsPhilippides, Antoine
DirectorsHuber, Daniel
Imprimatur date2022-11-16
Defense date2022-11-16
Abstract
Keywords
- Brain-machine-interfaces
- Impaired motor functions
- Neuronal mechanisms
- Neuroprosthetic control
- Learning-related changes
- Neuronal firing
- Plasticity
- Long-term potentiation
- Synchronous input
- Synaptic input
- Afferent activity
- Two-photon microscope
- Cortical layers
- Conditioned neurons
- Afferent incoming axons
- Motor thalamus
- Premotor areas
- Activity patterns
- Calcium dynamics
- Stable input contribution
- Long-term memory consolidation
- Transient changes
- Structural plasticity
- Basal levels
- Apical levels
- Dendrites
- Shrinking spines
- Growing spines
- Local circuits
- Single-cell conditioning.
Affiliation entities
Research groups
Citation (ISO format)
PHILIPPIDES, Antoine. The role of afferent input in neuroprosthetic learning. Doctoral Thesis, 2022. doi: 10.13097/archive-ouverte/unige:167207
Main files (1)
Thesis
Secondary files (1)
Identifiers
- PID : unige:167207
- DOI : 10.13097/archive-ouverte/unige:167207
- URN : urn:nbn:ch:unige-1672073
- Thesis number : Neur. 344