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The new focus of my work concerns the influence of neural aging on the brain’s spatial navigation network. Via a variety of neural processing stages visual information from the retina arrives to the hippocampal formation, where it is combined with other multi-modal sensory signals to produce an internal spatial representation. Even in a healthy individual the quality of such a representation gets worse with age. What is the contribution of purely visual aging in this age-related impairment ? Can this impairment be explained by age-related changes in synaptic plasticity, as it seems to be the case in rodents ? What could be the role of neuronal noise in this impairment ? In the recently created laboratory at the Vision Institute we will try to address these questions by combining computational modeling, psychophysical and behavioral experiments in humans.
Keywords: spatial memory, spatial behavior, neural networks, computational modeling, spiking neurons, learning and synaptic plasticity, place cells, cognitive map, reinforcement learning, vision, healthy aging
Keywords: spatial memory, spatial behavior, neural networks, computational modeling, spiking neurons, learning and synaptic plasticity, place cells, cognitive map, reinforcement learning, vision, healthy aging
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Jimmy Murari,Josselin Gautier, Joël Daout,Léa Krafft,Pierre Senée,Pedro Mecê,Kate Grieve,William Seiple,Denis Sheynikhovich,Serge Meimon,Michel Paques,Angelo Arleo
Investigative ophthalmology & visual scienceno. 8 (2024): 13-13
bioRxiv (Cold Spring Harbor Laboratory) (2023)
eLifepp.1-45, (2020)
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